From 8deb2a9822985b0b48ae92244155332dbe4c63e2 Mon Sep 17 00:00:00 2001 From: Cameron Bates Date: Mon, 2 Jun 2025 15:44:56 -0400 Subject: [PATCH 01/20] page structure/overview/create service text (no images) --- content/operate/rc/langcache/_index.md | 58 ++++++++ .../operate/rc/langcache/create-service.md | 130 ++++++++++++++++++ content/operate/rc/langcache/monitor-cache.md | 0 content/operate/rc/langcache/use-langcache.md | 13 ++ .../operate/rc/langcache/view-edit-cache.md | 12 ++ 5 files changed, 213 insertions(+) create mode 100644 content/operate/rc/langcache/_index.md create mode 100644 content/operate/rc/langcache/create-service.md create mode 100644 content/operate/rc/langcache/monitor-cache.md create mode 100644 content/operate/rc/langcache/use-langcache.md create mode 100644 content/operate/rc/langcache/view-edit-cache.md diff --git a/content/operate/rc/langcache/_index.md b/content/operate/rc/langcache/_index.md new file mode 100644 index 0000000000..ec63131f07 --- /dev/null +++ b/content/operate/rc/langcache/_index.md @@ -0,0 +1,58 @@ +--- +alwaysopen: false +categories: +- docs +- operate +- rc +description: Store LLM responses for AI applications in Redis Cloud. +hideListLinks: true +linktitle: LangCache +title: Semantic caching with LangCache +weight: 36 +--- + +LangCache is a semantic caching service available as a REST API that stores LLM responses for fast and cheaper retrieval, built on the Redis vector database. By using semantic caching, customers can significantly reduce API costs and lower the average latency of their generative AI applications. + +## LangCache overview + +LangCache uses semantic caching to store and reuse previous LLM responses for repeated queries. Instead of calling the LLM for every request, LangCache checks if a similar response has already been generated and is stored in the cache. If a match is found, LangCache returns the cached response instantly, saving time and resources. + +Imagine you’re using an LLM to build an agent to answer questions about your company's products. Your users may ask questions like the following: + +- "What are the features of Product A?" +- "Can you list the main features of Product A?" +- "Tell me about Product A’s features." + +These prompts may have slight variations, but they essentially ask the same question. LangCache can help you avoid calling the LLM for each of these prompts by caching the response to the first prompt and returning it for any similar prompts. + +Using LangCache as a semantic caching service in Redis Cloud has the following benefits: + +- **Lower LLM costs**: Reduce costly LLM calls by easily storing the most frequently-requested responses. +- **Faster AI app responses**: Get faster AI responses by retrieving previously-stored requests from memory. +- **Simpler Deployments**: Access our managed service via a REST API with automated embedding generation, configurable controls. +- **Advanced cache management**: Manage data access and privacy, eviction protocols, and monitor usage and cache hit rates. + +## LangCache architecture + +The following diagram displays how you can integrate LangCache into your GenAI app: + +{{< image filename="images/rc/langcache-process.png" >}} + +1. A user sends a prompt to your AI app. +1. Your app sends the prompt to LangCache through the `POST /v1/caches/{cacheId}/search` endpoint. +1. LangCache calls an embedding model service to generate an embedding for the prompt. +1. LangCache searches the cache to see if a similar response already exists by matching the embeddings of the new query with the stored embeddings. +1. If a semantically similar entry is found (also known as a cache hit), LangCache gets the cached response and returns it to your app. Your app can then send the cached response back to the user. +1. If no match is found (also known as a cache miss), your app receives an empty response from LangCache. Your app then queries your chosen LLM to generate a new response. +1. Your app sends the prompt and the new response to LangCache through the `POST /v1/caches/{cacheId}/entries` endpoint. +1. LangCache stores the embedding with the new response in the cache for future use. + +## Get started with LangCache on Redis Cloud + +To set up LangCache on Redis Cloud: + +1. [Create a database]({{< relref "/operate/rc/databases/create-database" >}}) on Redis Cloud. +2. [Create a LangCache service]({{< relref "/operate/rc/langcache/create-service" >}}) for your database. +3. [Use the LangCache API]({{< relref "/operate/rc/langcache/use-langcache" >}}) from your client app. + +After you set up LangCache, you can [view and edit the cache]({{< relref "/operate/rc/langcache/view-edit-cache" >}}) and [monitor the cache's performance]({{< relref "/operate/rc/langcache/monitor-cache" >}}). \ No newline at end of file diff --git a/content/operate/rc/langcache/create-service.md b/content/operate/rc/langcache/create-service.md new file mode 100644 index 0000000000..4b959f5389 --- /dev/null +++ b/content/operate/rc/langcache/create-service.md @@ -0,0 +1,130 @@ +--- +alwaysopen: false +categories: +- docs +- operate +- rc +description: null +hideListLinks: true +linktitle: Create service +title: Create a LangCache service +weight: 5 +--- + +Redis LangCache provides vector search capabilities and efficient caching for AI-powered applications. This guide walks you through creating and configuring a LangCache service in Redis Cloud. + +## Prerequisites + +To create a LangCache service, you will need: + +- A Redis Cloud database. If you don't have one, see [Create a database]({{< relref "/operate/rc/databases/create-database" >}}). + {{< note >}} +LangCache does not support the following databases during public preview: +- Databases with a [CIDR allow list]({{< relref "/operate/rc/security/cidr-whitelist" >}}) +- [Active-Active]({{< relref "/operate/rc/databases/configuration/active-active-redis" >}}) databases +- Databases with the [default user]({{< relref "/operate/rc/security/access-control/data-access-control/default-user" >}}) turned off + {{< /note >}} +- An [OpenAI API key](https://platform.openai.com/api-keys). LangCache uses OpenAI to generate embeddings for prompts and responses. + +## Create a LangCache service + +1. From the [Redis Cloud console](https://cloud.redis.io/), select **LangCache AI** from the left-hand menu. + +1. When you access the LangCache AI page for the first time, you will see a page with an introduction to LangCache. Select **Let's create a service** to create your first service. + + {{The Let's create a service button.}} + + If you have already created a LangCache service, select **New service** to create another one. + + {{The New service button.}} + +This takes you to the **Create LangCache service** page. The page is divided into the following sections: + +1. The [General settings](#general-settings) section defines basic properties of your service. +1. The [Embedding settings](#embedding-settings) section defines the embedding model used by your service. +1. The [Attributes settings](#attributes-settings) section allows you to define attributes for your service. + +### General settings + +The **General settings** section defines basic properties of your service. + +{{The General settings section.}} + +| Setting name |Description| +|:----------------------|:----------| +| **Service name** | Enter a name for your LangCache service. We recommend you use a name that describes your service's purpose. | +| **Select database** | Select the Redis Cloud database to use for this service from the list. | +| **TTL** | The number of seconds to cache entries before they expire. Default: `No expiration` - items in the cache will remain until manually removed. | +| **User** | The [database access user]({{< relref "/operate/rc/security/access-control/data-access-control/role-based-access-control" >}}) to use for this service. LangCache only supports the [`default` user]({{< relref "/operate/rc/security/access-control/data-access-control/default-user" >}}) during public preview. | + +### Embedding settings + +The **Embedding settings** section defines the embedding model used by your service. + +{{The Embedding settings section.}} + +| Setting name |Description| +|:----------------------|:----------| +| **Supported Embedding Provider** | The embedding provider to use for your service. LangCache only supports OpenAI during public preview. | +| **Embedding provider API key** | Enter your embedding provider's API key. | +| **Model** | Select the embedding model to use for your service. | +| **Similarity threshold** | Set the minimum similarity score required to consider a cached response a match. Range: `0.0` to `1.0`. Default: `0.9`
A higher value means more precise matches, but if it's too high, you will compromise on the number of matches and may lose relevant matches. A lower value means more matches, but may include less relevant matches. We recommend starting between `0.8` and `0.9` and then fine-tuning based on your results. | + +### Attributes settings + +Attributes provide powerful scoping capabilities for your LangCache operations. Think of them as tags or labels that help you organize and manage your cached data with precision. + +The **Attributes settings** section allows you to define attributes for your service. It is collapsed by default. + +{{The Attributes settings section, expanded.}} + +By default, LangCache includes three fixed attributes: +- User ID: Scope operations to a specific user +- Application ID: Manage cache entries related to a particular application +- Session ID: Control cache for a specific user session + +These fixed attributes enable targeted cache operations. For example, you'll be able to: +- Delete all cached entries for a specific user who updated their preferences +- Scope search results to only return entries relevant to the current user +- Clear all cached data related to a particular application version + +Beyond these fixed attributes, LangCache allows you to define up to 5 custom attributes that align with your specific use case. To add a new attribute: + +1. Select **Add attribute**. + + {{The Add attribute button.}} + +1. Give your custom attribute a descriptive name and select the check mark button to save it. + + {{The custom attributes section. Select the Confirm add attribute button to save your attribute.}} + +After you save your custom attribute, it will appear in the list of custom attributes. Use the **Delete** button to remove it. + +{{Select the Delete button to delete the selected attribute.}} + +You can also select **Add attribute** again to add an additional attribute. + +{{The Add attribute button.}} + +### Create service + +When you are done setting the details of your LangCache service, select **Create** to create it. + +{{Use the Create button to create a LangCache service.}} + +You'll be taken to your LangCache service's **Configuration** page. You'll also be able to see your LangCache service in the LangCache service list. + +{{The LangCache service in the LangCache service list.}} + +If an error occurs, verify that: +- Your database is active. +- You have provided a valid OpenAI API key. +- You have provided valid values for all the required fields. + +For help, [contact support](https://redis.io/support/). + +## Next steps + +After your cache is created, you can [use the LangCache API]({{< relref "/operate/rc/langcache/use-langcache" >}}) from your client app. + +You can also [view and edit the cache]({{< relref "/operate/rc/langcache/view-edit-cache" >}}) and [monitor the cache's performance]({{< relref "/operate/rc/langcache/monitor-cache" >}}). \ No newline at end of file diff --git a/content/operate/rc/langcache/monitor-cache.md b/content/operate/rc/langcache/monitor-cache.md new file mode 100644 index 0000000000..e69de29bb2 diff --git a/content/operate/rc/langcache/use-langcache.md b/content/operate/rc/langcache/use-langcache.md new file mode 100644 index 0000000000..4b13785381 --- /dev/null +++ b/content/operate/rc/langcache/use-langcache.md @@ -0,0 +1,13 @@ +--- +alwaysopen: false +categories: +- docs +- operate +- rc +description: null +hideListLinks: true +linktitle: Use LangCache +title: Use the LangCache API with your GenAI app +weight: 10 +--- + diff --git a/content/operate/rc/langcache/view-edit-cache.md b/content/operate/rc/langcache/view-edit-cache.md new file mode 100644 index 0000000000..30815ffecc --- /dev/null +++ b/content/operate/rc/langcache/view-edit-cache.md @@ -0,0 +1,12 @@ +--- +alwaysopen: false +categories: +- docs +- operate +- rc +description: null +hideListLinks: true +linktitle: View and edit cache +title: View and edit LangCache service +weight: 15 +--- \ No newline at end of file From 03d8a95162b603d4111784870ed1b5566cc2ada5 Mon Sep 17 00:00:00 2001 From: Cameron Bates Date: Wed, 11 Jun 2025 16:32:30 -0400 Subject: [PATCH 02/20] checkpoint --- content/operate/rc/langcache/use-langcache.md | 70 +++++++++++++++++++ 1 file changed, 70 insertions(+) diff --git a/content/operate/rc/langcache/use-langcache.md b/content/operate/rc/langcache/use-langcache.md index 4b13785381..0674a84ba9 100644 --- a/content/operate/rc/langcache/use-langcache.md +++ b/content/operate/rc/langcache/use-langcache.md @@ -11,3 +11,73 @@ title: Use the LangCache API with your GenAI app weight: 10 --- +You can use the LangCache API from your client app to store and retrieve LLM responses. + +## Call the REST API + +To access the LangCache API, you need: + +- LangCache API base URL +- LangCache API token +- Cache ID + +All of these values are available in the LangCache service's **Configuration** page. + +When you call the API, you need to pass the LangCache API token in the `Authorization` header as a Bearer token and the Cache ID as the `cacheId` path parameter. + +For example, to check the health of the cache using `cURL`: + +```bash +curl -s -X GET "https://$HOST/v1/caches/$CACHE_ID/health" \ + -H "accept: application/json" \ + -H "Authorization: Bearer $API_KEY" +``` + +- The example expects several variables to be set in the shell: + + - **$HOST** - the LangCache API base URL + - **$CACHE_ID** - the Cache ID of your cache + - **$API_KEY** - The LangCache API token + +{{% info %}} +This example uses `cURL` and Linux shell scripts to demonstrate the API; you can use any standard REST client or library. +{{% /info %}} + +## Check cache health + +Use `GET /v1/caches/{cacheId}/health` to check the health of the cache. + +```sh +GET https://[host]/v1/caches/{cacheId}/health +``` + +## Search LangCache for similar responses + +Use `POST /v1/caches/{cacheId}/search` to search the cache for matching responses. + +```sh +POST https://[host]/v1/caches/{cacheId}/search +{ + "prompt": "User prompt text" +} +``` + +Place this call in your client app right before you call your LLM's REST API. If LangCache returns a response, you can send that response back to the user instead of calling the LLM. + +If LangCache does not return a response, you should call your LLM's REST API to generate a new response. After you get a response from the LLM, you can [store it in LangCache](#store-a-new-response-in-langcache) for future use. + +## Store a new response in LangCache + +Use `POST /v1/caches/{cacheId}/entries` to store a new response in the cache. + +```sh +POST https://[host]/v1/caches/{cacheId}/entries +{ + "prompt": "User prompt text", + "response": "LLM response text" +} +``` + +Place this call in your client app after you get a response from the LLM. This will store the response in the cache for future use. + +## Delete cached responses \ No newline at end of file From 453c24941574d8722b1e9c85dd368df36cf39fce Mon Sep 17 00:00:00 2001 From: Cameron Bates Date: Fri, 13 Jun 2025 17:22:24 -0400 Subject: [PATCH 03/20] Monitor cache --- content/operate/rc/langcache/monitor-cache.md | 55 +++++++++++++++++ content/operate/rc/langcache/use-langcache.md | 59 +++++++++++++++++-- .../operate/rc/langcache/view-edit-cache.md | 4 +- 3 files changed, 113 insertions(+), 5 deletions(-) diff --git a/content/operate/rc/langcache/monitor-cache.md b/content/operate/rc/langcache/monitor-cache.md index e69de29bb2..5e0bc4b2d4 100644 --- a/content/operate/rc/langcache/monitor-cache.md +++ b/content/operate/rc/langcache/monitor-cache.md @@ -0,0 +1,55 @@ +--- +alwaysopen: false +categories: +- docs +- operate +- rc +description: null +hideListLinks: true +linktitle: Monitor cache +title: Monitor a LangCache service +weight: 20 +--- + +You can monitor a LangCache service's performance from the **Metrics** tab of the service's page. + +{{The metrics tab of the LangCache service's page.}} + +The **Metrics** tab provides a series of graphs showing performance data for your LangCache service. + +You can switch between daily and weekly stats using the **Day** and **Week** buttons at the top of the page. Each graph also includes minimum, average, maximum, and latest values. + +## LangCache metrics reference + +### Cache hit ratio + +The percentage of requests that were successfully served from the cache without needing to call the LLM API. A healthy cache will generally show an increasing hit ratio over time as it becomes more populated by cached responses. + +Here are some tips to optimize your cache hit ratio: + +- Tune similarity thresholds to capture more semantically related queries. +- Analyze recurring query patterns to fine-tune your embedding strategies. +- Test different embedding models to understand their impact on cache hit rates. + +A higher cache hit ratio does not always mean better performance. If the cache is too lenient in its similarity matching, it may return irrelevant responses, leading to a higher cache hit rate but poorer overall performance. + +### Cache search requests + +The number of read attempts against the cache at the specified time. This metric can help you understand the load on your cache and identify periods of high or low activity. + +### Cache latency + +The average time to process a cache lookup request. This metric can help you identify performance bottlenecks and optimize your cache configuration. + +Cache latency is highly dependent on embedding model performance, since the cache must generate embeddings for each request in order to compare them to the cached responses. + +High cache latency may indicate one of the following: + +- Inefficient embedding generation from the embedding provider +- Large cache requiring longer comparison times +- Network latency between the cache and embedding provider +- Resource constraints + +### Cache items + +The total number of entries stores in your cache. Each item includes the query string, embedding, response, and other metadata. \ No newline at end of file diff --git a/content/operate/rc/langcache/use-langcache.md b/content/operate/rc/langcache/use-langcache.md index 0674a84ba9..e531da3fa7 100644 --- a/content/operate/rc/langcache/use-langcache.md +++ b/content/operate/rc/langcache/use-langcache.md @@ -13,8 +13,6 @@ weight: 10 You can use the LangCache API from your client app to store and retrieve LLM responses. -## Call the REST API - To access the LangCache API, you need: - LangCache API base URL @@ -53,7 +51,7 @@ GET https://[host]/v1/caches/{cacheId}/health ## Search LangCache for similar responses -Use `POST /v1/caches/{cacheId}/search` to search the cache for matching responses. +Use `POST /v1/caches/{cacheId}/search` to search the cache for matching responses to a user prompt. ```sh POST https://[host]/v1/caches/{cacheId}/search @@ -66,6 +64,23 @@ Place this call in your client app right before you call your LLM's REST API. If If LangCache does not return a response, you should call your LLM's REST API to generate a new response. After you get a response from the LLM, you can [store it in LangCache](#store-a-new-response-in-langcache) for future use. +You can also limit the responses returned from LangCache by adding an `attributes` object or `scope` object to the request. LangCache will only return responses that match the attributes you specify. + +```sh +POST https://[host]/v1/caches/{cacheId}/search +{ + "prompt": "User prompt text", + "attributes": { + "customAttributeName": "customAttributeValue" + }, + "scope": { + "applicationId": "applicationId", + "userId": "userId", + "sessionId": "sessionId" + } +} +``` + ## Store a new response in LangCache Use `POST /v1/caches/{cacheId}/entries` to store a new response in the cache. @@ -80,4 +95,40 @@ POST https://[host]/v1/caches/{cacheId}/entries Place this call in your client app after you get a response from the LLM. This will store the response in the cache for future use. -## Delete cached responses \ No newline at end of file +You can also store the responses with custom attributes by adding an `attributes` object to the request. To store a response with one or more of the default attributes, use the `scope` object instead. + +```sh +POST https://[host]/v1/caches/{cacheId}/entries +{ + "prompt": "User prompt text", + "response": "LLM response text", + "attributes": { + "customAttributeName": "customAttributeValue" + }, + "scope": { + "applicationId": "applicationId", + "userId": "userId", + "sessionId": "sessionId" + } +} +``` + +## Delete cached responses + +Use `DELETE /v1/caches/{cacheId}/entries/{entryId}` to delete a cached response from the cache. + +You can also use `DELETE /v1/caches/{cacheId}/entries` to delete multiple cached responses at once. If you provide an `attributes` object or `scope` object, LangCache will delete all responses that match the attributes you specify. + +```sh +DELETE https://[host]/v1/caches/{cacheId}/entries +{ + "attributes": { + "customAttributeName": "customAttributeValue" + }, + "scope": { + "applicationId": "applicationId", + "userId": "userId", + "sessionId": "sessionId" + } +} +``` diff --git a/content/operate/rc/langcache/view-edit-cache.md b/content/operate/rc/langcache/view-edit-cache.md index 30815ffecc..16087d1b07 100644 --- a/content/operate/rc/langcache/view-edit-cache.md +++ b/content/operate/rc/langcache/view-edit-cache.md @@ -9,4 +9,6 @@ hideListLinks: true linktitle: View and edit cache title: View and edit LangCache service weight: 15 ---- \ No newline at end of file +--- + +Still in progress. \ No newline at end of file From 697a6939b97cb474f506dbcf06071342231e1b3d Mon Sep 17 00:00:00 2001 From: Cameron Bates Date: Fri, 13 Jun 2025 17:57:14 -0400 Subject: [PATCH 04/20] View/Edit --- .../operate/rc/langcache/view-edit-cache.md | 83 ++++++++++++++++++- 1 file changed, 82 insertions(+), 1 deletion(-) diff --git a/content/operate/rc/langcache/view-edit-cache.md b/content/operate/rc/langcache/view-edit-cache.md index 16087d1b07..a069750f56 100644 --- a/content/operate/rc/langcache/view-edit-cache.md +++ b/content/operate/rc/langcache/view-edit-cache.md @@ -11,4 +11,85 @@ title: View and edit LangCache service weight: 15 --- -Still in progress. \ No newline at end of file +After you have [created your first LangCache service]({{< relref "/operate/rc/langcache/create-service" >}}), selecting **LangCache AI** from the Redis Cloud Console menu will take you to the **LangCache Services** page. + +This page displays a list of all LangCache services associated with your account. + +{{The LangCache service in the LangCache service list.}} + +Select your LangCache service from the list to view the service's details. + +## Configuration tab + +The **Configuration** tab lets you view the details of your LangCache service. It contains the following sections: + +- The **Connectivity** section provides the connection details for your LangCache service. +- The **Configuration** section provides the cache settings for your LangCache service. +- The **Actions** section lets you flush or delete your LangCache service. + +### Connectivity + +The **Connectivity** section provides the connection details for your LangCache service. + +{{The connectivity settings for the LangCache service.}} + +| Setting name |Description| +|:----------------------|:----------| +| **API Key** | The Bearer token for your LangCache API requests. | +| **Cache ID** | The unique ID of your LangCache service. | +| **API Base URL** | The base URL for LangCache API requests. | + +Select the **Copy** button next to each value to copy them to the clipboard. See [use the LangCache API]({{< relref "/operate/rc/langcache/use-langcache" >}}) for more information on how to use these values. + +### Configuration + +The **Configuration** section provides configuration details for your LangCache service. + +| Setting name |Description| +|:----------------------|:----------| +| **Service name** | The name of the LangCache service. _(Editable)_ | +| **Database** | The database that stores your cache data. | +| **Distance threshold** | The minimum similarity score required to consider a cached response a match. _(Editable)_ | +| **Embedding Provider** | The embedding provider to use for your service. | + +Some of the configuration settings can be changed after cache creation. To do so, select the **Edit** button. + +### Attributes + +The **Attributes** section provides the custom attributes defined for your LangCache service. + +{{The custom attributes for the LangCache service.}} + +You can not edit custom attributes after cache creation. + +### Actions + +The **Actions** section lets you flush or delete your LangCache service. + +{{The actions for the LangCache service.}} + +#### Flush cache + +Flushing the cache completely erases all cached data while preserving the service configuration and the search index used by the cache. + +To flush the cache: + +1. Select **Flush**. + +1. A confirmation dialog will appear. Select **Flush** again to confirm. + +Flushing the cache is permanent and cannot be undone, and will result in cache misses until the cache is repopulated. + +### Delete service + +Deleting your LangCache service permanently deletes all associated cached data, the service configuration, and the LangCache search index. It also immediately terminates all API keys associated with the service. However, your database and other database data will not be deleted. + +To delete your LangCache service: + +1. Select **Delete**. + +1. A confirmation dialog will appear. Select the checkbox to confirm that you want to delete the service. + +1. Select **Delete** again to confirm. + +Deleting the LangCache service is permanent and cannot be undone. \ No newline at end of file From 5d86971fc14d7fc8bcf8b4830817067e7948cf17 Mon Sep 17 00:00:00 2001 From: Cameron Bates Date: Fri, 13 Jun 2025 18:05:55 -0400 Subject: [PATCH 05/20] Images --- content/operate/rc/langcache/create-service.md | 12 ++++++------ content/operate/rc/langcache/monitor-cache.md | 4 ++-- static/images/rc/langcache-add-attribute.png | Bin 0 -> 4357 bytes .../images/rc/langcache-attribute-settings.png | Bin 0 -> 27589 bytes .../rc/langcache-create-first-service.png | Bin 0 -> 4968 bytes .../images/rc/langcache-custom-attributes.png | Bin 0 -> 8328 bytes .../images/rc/langcache-embedding-settings.png | Bin 0 -> 21083 bytes static/images/rc/langcache-general-settings.png | Bin 0 -> 29470 bytes static/images/rc/langcache-metrics.png | Bin 0 -> 51631 bytes static/images/rc/langcache-new-service.png | Bin 0 -> 4480 bytes static/images/rc/langcache-process.png | Bin 0 -> 54491 bytes static/images/rc/langcache-service-list.png | Bin 0 -> 19629 bytes static/images/rc/langcache-view-actions.png | Bin 0 -> 33947 bytes static/images/rc/langcache-view-attribtes.png | Bin 0 -> 10297 bytes .../images/rc/langcache-view-connectivity.png | Bin 0 -> 22707 bytes 15 files changed, 8 insertions(+), 8 deletions(-) create mode 100644 static/images/rc/langcache-add-attribute.png create mode 100644 static/images/rc/langcache-attribute-settings.png create mode 100644 static/images/rc/langcache-create-first-service.png create mode 100644 static/images/rc/langcache-custom-attributes.png create mode 100644 static/images/rc/langcache-embedding-settings.png create mode 100644 static/images/rc/langcache-general-settings.png create mode 100644 static/images/rc/langcache-metrics.png create mode 100644 static/images/rc/langcache-new-service.png create mode 100644 static/images/rc/langcache-process.png create mode 100644 static/images/rc/langcache-service-list.png create mode 100644 static/images/rc/langcache-view-actions.png create mode 100644 static/images/rc/langcache-view-attribtes.png create mode 100644 static/images/rc/langcache-view-connectivity.png diff --git a/content/operate/rc/langcache/create-service.md b/content/operate/rc/langcache/create-service.md index 4b959f5389..e083c1a04b 100644 --- a/content/operate/rc/langcache/create-service.md +++ b/content/operate/rc/langcache/create-service.md @@ -32,11 +32,11 @@ LangCache does not support the following databases during public preview: 1. When you access the LangCache AI page for the first time, you will see a page with an introduction to LangCache. Select **Let's create a service** to create your first service. - {{The Let's create a service button.}} + {{The Let's create a service button.}} If you have already created a LangCache service, select **New service** to create another one. - {{The New service button.}} + {{The New service button.}} This takes you to the **Create LangCache service** page. The page is divided into the following sections: @@ -76,9 +76,9 @@ Attributes provide powerful scoping capabilities for your LangCache operations. The **Attributes settings** section allows you to define attributes for your service. It is collapsed by default. -{{The Attributes settings section, expanded.}} +{{The Attributes settings section, expanded.}} -By default, LangCache includes three fixed attributes: +By default, LangCache includes three fixed attributes, which are called the "scope" in the API: - User ID: Scope operations to a specific user - Application ID: Manage cache entries related to a particular application - Session ID: Control cache for a specific user session @@ -92,7 +92,7 @@ Beyond these fixed attributes, LangCache allows you to define up to 5 custom att 1. Select **Add attribute**. - {{The Add attribute button.}} + {{The Add attribute button.}} 1. Give your custom attribute a descriptive name and select the check mark button to save it. @@ -104,7 +104,7 @@ After you save your custom attribute, it will appear in the list of custom attri You can also select **Add attribute** again to add an additional attribute. -{{The Add attribute button.}} +{{The Add attribute button.}} ### Create service diff --git a/content/operate/rc/langcache/monitor-cache.md b/content/operate/rc/langcache/monitor-cache.md index 5e0bc4b2d4..a250230751 100644 --- a/content/operate/rc/langcache/monitor-cache.md +++ b/content/operate/rc/langcache/monitor-cache.md @@ -13,7 +13,7 @@ weight: 20 You can monitor a LangCache service's performance from the **Metrics** tab of the service's page. -{{The metrics tab of the LangCache service's page.}} +{{The metrics tab of the LangCache service's page.}} The **Metrics** tab provides a series of graphs showing performance data for your LangCache service. @@ -25,7 +25,7 @@ You can switch between daily and weekly stats using the **Day** and **Week** but The percentage of requests that were successfully served from the cache without needing to call the LLM API. 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b/content/operate/rc/langcache/create-service.md index e083c1a04b..ba571b23a0 100644 --- a/content/operate/rc/langcache/create-service.md +++ b/content/operate/rc/langcache/create-service.md @@ -28,9 +28,9 @@ LangCache does not support the following databases during public preview: ## Create a LangCache service -1. From the [Redis Cloud console](https://cloud.redis.io/), select **LangCache AI** from the left-hand menu. +1. From the [Redis Cloud console](https://cloud.redis.io/), select **LangCache** from the left-hand menu. -1. When you access the LangCache AI page for the first time, you will see a page with an introduction to LangCache. Select **Let's create a service** to create your first service. +1. When you access the LangCache page for the first time, you will see a page with an introduction to LangCache. Select **Let's create a service** to create your first service. {{The Let's create a service button.}} @@ -78,17 +78,7 @@ The **Attributes settings** section allows you to define attributes for your ser {{The Attributes settings section, expanded.}} -By default, LangCache includes three fixed attributes, which are called the "scope" in the API: -- User ID: Scope operations to a specific user -- Application ID: Manage cache entries related to a particular application -- Session ID: Control cache for a specific user session - -These fixed attributes enable targeted cache operations. For example, you'll be able to: -- Delete all cached entries for a specific user who updated their preferences -- Scope search results to only return entries relevant to the current user -- Clear all cached data related to a particular application version - -Beyond these fixed attributes, LangCache allows you to define up to 5 custom attributes that align with your specific use case. To add a new attribute: +LangCache allows you to define up to 5 custom attributes that align with your specific use case. To add a new attribute: 1. Select **Add attribute**. @@ -127,4 +117,4 @@ For help, [contact support](https://redis.io/support/). After your cache is created, you can [use the LangCache API]({{< relref "/operate/rc/langcache/use-langcache" >}}) from your client app. -You can also [view and edit the cache]({{< relref "/operate/rc/langcache/view-edit-cache" >}}) and [monitor the cache's performance]({{< relref "/operate/rc/langcache/monitor-cache" >}}). \ No newline at end of file +You can also [view and edit the cache]({{< relref "/operate/rc/langcache/view-edit-cache" >}}) and [monitor the cache's performance]({{< relref "/operate/rc/langcache/monitor-cache" >}}). From 94f6ac99959ddabfd37125994cd12af7cda94cc3 Mon Sep 17 00:00:00 2001 From: Jen Agarwal <109815410+Jenverse@users.noreply.github.com> Date: Mon, 16 Jun 2025 12:43:32 -0400 Subject: [PATCH 07/20] Update use-langcache.md - Removed Scope from the request as we have made that update - Made some other minor changes to the language --- content/operate/rc/langcache/use-langcache.md | 19 ++----------------- 1 file changed, 2 insertions(+), 17 deletions(-) diff --git a/content/operate/rc/langcache/use-langcache.md b/content/operate/rc/langcache/use-langcache.md index e531da3fa7..1c156fcc14 100644 --- a/content/operate/rc/langcache/use-langcache.md +++ b/content/operate/rc/langcache/use-langcache.md @@ -11,7 +11,7 @@ title: Use the LangCache API with your GenAI app weight: 10 --- -You can use the LangCache API from your client app to store and retrieve LLM responses. +You can use the LangCache API from your client app to store and retrieve LLM, RAG or agent responses. To access the LangCache API, you need: @@ -64,7 +64,7 @@ Place this call in your client app right before you call your LLM's REST API. If If LangCache does not return a response, you should call your LLM's REST API to generate a new response. After you get a response from the LLM, you can [store it in LangCache](#store-a-new-response-in-langcache) for future use. -You can also limit the responses returned from LangCache by adding an `attributes` object or `scope` object to the request. LangCache will only return responses that match the attributes you specify. +You can also scope the responses returned from LangCache by adding an `attributes` object or `scope` object to the request. LangCache will only return responses that match the attributes you specify. ```sh POST https://[host]/v1/caches/{cacheId}/search @@ -72,11 +72,6 @@ POST https://[host]/v1/caches/{cacheId}/search "prompt": "User prompt text", "attributes": { "customAttributeName": "customAttributeValue" - }, - "scope": { - "applicationId": "applicationId", - "userId": "userId", - "sessionId": "sessionId" } } ``` @@ -104,11 +99,6 @@ POST https://[host]/v1/caches/{cacheId}/entries "response": "LLM response text", "attributes": { "customAttributeName": "customAttributeValue" - }, - "scope": { - "applicationId": "applicationId", - "userId": "userId", - "sessionId": "sessionId" } } ``` @@ -124,11 +114,6 @@ DELETE https://[host]/v1/caches/{cacheId}/entries { "attributes": { "customAttributeName": "customAttributeValue" - }, - "scope": { - "applicationId": "applicationId", - "userId": "userId", - "sessionId": "sessionId" } } ``` From 639ce6425cf5d0e30639bbb03ad19dafbe3efd31 Mon Sep 17 00:00:00 2001 From: Jen Agarwal <109815410+Jenverse@users.noreply.github.com> Date: Mon, 16 Jun 2025 12:50:20 -0400 Subject: [PATCH 08/20] Update view-edit-cache.md updated the delete functionality a little bit and also changed the name of "configuration" underser configuration page to match what we have now i.e. general --- content/operate/rc/langcache/view-edit-cache.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/content/operate/rc/langcache/view-edit-cache.md b/content/operate/rc/langcache/view-edit-cache.md index a069750f56..04c49aedd7 100644 --- a/content/operate/rc/langcache/view-edit-cache.md +++ b/content/operate/rc/langcache/view-edit-cache.md @@ -24,7 +24,7 @@ Select your LangCache service from the list to view the service's details. The **Configuration** tab lets you view the details of your LangCache service. It contains the following sections: - The **Connectivity** section provides the connection details for your LangCache service. -- The **Configuration** section provides the cache settings for your LangCache service. +- The **General** section provides the cache settings for your LangCache service. - The **Actions** section lets you flush or delete your LangCache service. ### Connectivity @@ -41,9 +41,9 @@ The **Connectivity** section provides the connection details for your LangCache Select the **Copy** button next to each value to copy them to the clipboard. See [use the LangCache API]({{< relref "/operate/rc/langcache/use-langcache" >}}) for more information on how to use these values. -### Configuration +### General -The **Configuration** section provides configuration details for your LangCache service. +The **General** section provides configuration details for your LangCache service. | Setting name |Description| |:----------------------|:----------| @@ -82,7 +82,7 @@ Flushing the cache is permanent and cannot be undone, and will result in cache m ### Delete service -Deleting your LangCache service permanently deletes all associated cached data, the service configuration, and the LangCache search index. It also immediately terminates all API keys associated with the service. However, your database and other database data will not be deleted. +Deleting your LangCache service permanently deletes all associated cached data, the service configuration, and the LangCache search index. It also immediately terminates all API keys associated with the service. Data stored in other indexes within the same database will remain unaffected. To delete your LangCache service: @@ -92,4 +92,4 @@ To delete your LangCache service: 1. Select **Delete** again to confirm. -Deleting the LangCache service is permanent and cannot be undone. \ No newline at end of file +Deleting the LangCache service is permanent and cannot be undone. From eef63da7f996b26f0ea06375e70c7295662d1fd6 Mon Sep 17 00:00:00 2001 From: Cameron Bates <102550101+cmilesb@users.noreply.github.com> Date: Mon, 16 Jun 2025 13:10:58 -0400 Subject: [PATCH 09/20] Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- content/operate/rc/langcache/use-langcache.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/operate/rc/langcache/use-langcache.md b/content/operate/rc/langcache/use-langcache.md index 1c156fcc14..54c2260596 100644 --- a/content/operate/rc/langcache/use-langcache.md +++ b/content/operate/rc/langcache/use-langcache.md @@ -11,7 +11,7 @@ title: Use the LangCache API with your GenAI app weight: 10 --- -You can use the LangCache API from your client app to store and retrieve LLM, RAG or agent responses. +You can use the LangCache API from your client app to store and retrieve LLM, RAG, or agent responses. To access the LangCache API, you need: @@ -64,7 +64,7 @@ Place this call in your client app right before you call your LLM's REST API. If If LangCache does not return a response, you should call your LLM's REST API to generate a new response. After you get a response from the LLM, you can [store it in LangCache](#store-a-new-response-in-langcache) for future use. -You can also scope the responses returned from LangCache by adding an `attributes` object or `scope` object to the request. LangCache will only return responses that match the attributes you specify. +You can also scope the responses returned from LangCache by adding an `attributes` object to the request. LangCache will only return responses that match the attributes you specify. ```sh POST https://[host]/v1/caches/{cacheId}/search From 54b055b38c0651ffd50eca7f0c89855b501c2011 Mon Sep 17 00:00:00 2001 From: Cameron Bates <102550101+cmilesb@users.noreply.github.com> Date: Mon, 16 Jun 2025 13:14:43 -0400 Subject: [PATCH 10/20] Apply suggestions from code review --- content/operate/rc/langcache/use-langcache.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/operate/rc/langcache/use-langcache.md b/content/operate/rc/langcache/use-langcache.md index 54c2260596..37719aa73e 100644 --- a/content/operate/rc/langcache/use-langcache.md +++ b/content/operate/rc/langcache/use-langcache.md @@ -90,7 +90,7 @@ POST https://[host]/v1/caches/{cacheId}/entries Place this call in your client app after you get a response from the LLM. This will store the response in the cache for future use. -You can also store the responses with custom attributes by adding an `attributes` object to the request. To store a response with one or more of the default attributes, use the `scope` object instead. +You can also store the responses with custom attributes by adding an `attributes` object to the request. ```sh POST https://[host]/v1/caches/{cacheId}/entries @@ -107,7 +107,7 @@ POST https://[host]/v1/caches/{cacheId}/entries Use `DELETE /v1/caches/{cacheId}/entries/{entryId}` to delete a cached response from the cache. -You can also use `DELETE /v1/caches/{cacheId}/entries` to delete multiple cached responses at once. If you provide an `attributes` object or `scope` object, LangCache will delete all responses that match the attributes you specify. +You can also use `DELETE /v1/caches/{cacheId}/entries` to delete multiple cached responses at once. If you provide an `attributes` object, LangCache will delete all responses that match the attributes you specify. ```sh DELETE https://[host]/v1/caches/{cacheId}/entries From ce25f26398afa330befaeddf76d570e40186976d Mon Sep 17 00:00:00 2001 From: Cameron Bates <102550101+cmilesb@users.noreply.github.com> Date: Fri, 20 Jun 2025 15:04:21 -0400 Subject: [PATCH 11/20] Update content/operate/rc/langcache/view-edit-cache.md --- content/operate/rc/langcache/view-edit-cache.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/operate/rc/langcache/view-edit-cache.md b/content/operate/rc/langcache/view-edit-cache.md index 04c49aedd7..dc0c0b3984 100644 --- a/content/operate/rc/langcache/view-edit-cache.md +++ b/content/operate/rc/langcache/view-edit-cache.md @@ -80,7 +80,7 @@ To flush the cache: Flushing the cache is permanent and cannot be undone, and will result in cache misses until the cache is repopulated. -### Delete service +#### Delete service Deleting your LangCache service permanently deletes all associated cached data, the service configuration, and the LangCache search index. It also immediately terminates all API keys associated with the service. Data stored in other indexes within the same database will remain unaffected. From 718eba2035a9aaa943317c88c471b18c19fb7dd3 Mon Sep 17 00:00:00 2001 From: Cameron Bates Date: Fri, 20 Jun 2025 15:05:58 -0400 Subject: [PATCH 12/20] Fix name on an image --- ...-attribtes.png => langcache-view-attributes.png} | Bin 1 file changed, 0 insertions(+), 0 deletions(-) rename static/images/rc/{langcache-view-attribtes.png => langcache-view-attributes.png} (100%) diff --git a/static/images/rc/langcache-view-attribtes.png b/static/images/rc/langcache-view-attributes.png similarity index 100% rename from static/images/rc/langcache-view-attribtes.png rename to static/images/rc/langcache-view-attributes.png From 0000190c0eb05d9efa0f00a9f682fb3f481275cb Mon Sep 17 00:00:00 2001 From: Cameron Bates Date: Wed, 25 Jun 2025 14:20:41 -0400 Subject: [PATCH 13/20] Get up-to-date --- .../operate/rc/langcache/create-service.md | 24 ++++++++--- content/operate/rc/langcache/use-langcache.md | 8 ++-- .../operate/rc/langcache/view-edit-cache.md | 39 ++++++++++++++++-- static/images/rc/langcache-replace-key.png | Bin 0 -> 4508 bytes static/images/rc/langcache-service-key.png | Bin 0 -> 23523 bytes .../images/rc/langcache-view-connectivity.png | Bin 22707 -> 23912 bytes static/images/rc/langcache-view-general.png | Bin 0 -> 17753 bytes 7 files changed, 58 insertions(+), 13 deletions(-) create mode 100644 static/images/rc/langcache-replace-key.png create mode 100644 static/images/rc/langcache-service-key.png create mode 100644 static/images/rc/langcache-view-general.png diff --git a/content/operate/rc/langcache/create-service.md b/content/operate/rc/langcache/create-service.md index ba571b23a0..f1b1710c8f 100644 --- a/content/operate/rc/langcache/create-service.md +++ b/content/operate/rc/langcache/create-service.md @@ -18,25 +18,27 @@ Redis LangCache provides vector search capabilities and efficient caching for AI To create a LangCache service, you will need: - A Redis Cloud database. If you don't have one, see [Create a database]({{< relref "/operate/rc/databases/create-database" >}}). + {{< note >}} LangCache does not support the following databases during public preview: - Databases with a [CIDR allow list]({{< relref "/operate/rc/security/cidr-whitelist" >}}) - [Active-Active]({{< relref "/operate/rc/databases/configuration/active-active-redis" >}}) databases - Databases with the [default user]({{< relref "/operate/rc/security/access-control/data-access-control/default-user" >}}) turned off {{< /note >}} + - An [OpenAI API key](https://platform.openai.com/api-keys). LangCache uses OpenAI to generate embeddings for prompts and responses. ## Create a LangCache service -1. From the [Redis Cloud console](https://cloud.redis.io/), select **LangCache** from the left-hand menu. +From the [Redis Cloud console](https://cloud.redis.io/), select **LangCache** from the left-hand menu. -1. When you access the LangCache page for the first time, you will see a page with an introduction to LangCache. Select **Let's create a service** to create your first service. +When you access the LangCache page for the first time, you will see a page with an introduction to LangCache. Select **Let's create a service** to create your first service. - {{The Let's create a service button.}} +{{The Let's create a service button.}} - If you have already created a LangCache service, select **New service** to create another one. +If you have already created a LangCache service, select **New service** to create another one. - {{The New service button.}} +{{The New service button.}} This takes you to the **Create LangCache service** page. The page is divided into the following sections: @@ -68,7 +70,7 @@ The **Embedding settings** section defines the embedding model used by your serv | **Supported Embedding Provider** | The embedding provider to use for your service. LangCache only supports OpenAI during public preview. | | **Embedding provider API key** | Enter your embedding provider's API key. | | **Model** | Select the embedding model to use for your service. | -| **Similarity threshold** | Set the minimum similarity score required to consider a cached response a match. Range: `0.0` to `1.0`. Default: `0.9`
A higher value means more precise matches, but if it's too high, you will compromise on the number of matches and may lose relevant matches. A lower value means more matches, but may include less relevant matches. We recommend starting between `0.8` and `0.9` and then fine-tuning based on your results. | +| **Similarity threshold** | Set the minimum similarity score required to consider a cached response a match. Range: `0.0` to `1.0`. Default: `0.9`

A higher value means more precise matches, but if it's too high, you will compromise on the number of matches and may lose relevant matches. A lower value means more matches, but may include less relevant matches. We recommend starting between `0.8` and `0.9` and then fine-tuning based on your results. | ### Attributes settings @@ -102,6 +104,16 @@ When you are done setting the details of your LangCache service, select **Create {{Use the Create button to create a LangCache service.}} +A window containing your LangCache service key will appear. Select **Copy** to copy the key to your clipboard. + +{{The LangCache service key window. Use the Copy button to save the service key to the clipboard.}} + +{{}} +This is the only time the value of the user key is available. Save it to a secure location before closing the dialog box.

+ +If you lose the service key value, you will need to [replace the service key]({{< relref "/operate/rc/langcache/view-edit-cache#replace-service-api-key" >}}) to be able to use the LangCache API. +{{}} + You'll be taken to your LangCache service's **Configuration** page. You'll also be able to see your LangCache service in the LangCache service list. {{The LangCache service in the LangCache service list.}} diff --git a/content/operate/rc/langcache/use-langcache.md b/content/operate/rc/langcache/use-langcache.md index 37719aa73e..f344b685ef 100644 --- a/content/operate/rc/langcache/use-langcache.md +++ b/content/operate/rc/langcache/use-langcache.md @@ -16,12 +16,14 @@ You can use the LangCache API from your client app to store and retrieve LLM, RA To access the LangCache API, you need: - LangCache API base URL -- LangCache API token +- LangCache service API key - Cache ID -All of these values are available in the LangCache service's **Configuration** page. +The base URL and cache ID are available in the LangCache service's **Configuration** page in the [**Connectivity** section]({{< relref "/operate/rc/langcache/view-edit-cache#connectivity" >}}). -When you call the API, you need to pass the LangCache API token in the `Authorization` header as a Bearer token and the Cache ID as the `cacheId` path parameter. +The LangCache API key is only available immediately after you create the LangCache service. If you lost this value, you will need to [replace the service API key]({{< relref "/operate/rc/langcache/view-edit-cache#replace-service-api-key" >}}) to be able to use the LangCache API. + +When you call the API, you need to pass the LangCache API key in the `Authorization` header as a Bearer token and the Cache ID as the `cacheId` path parameter. For example, to check the health of the cache using `cURL`: diff --git a/content/operate/rc/langcache/view-edit-cache.md b/content/operate/rc/langcache/view-edit-cache.md index dc0c0b3984..87250105d5 100644 --- a/content/operate/rc/langcache/view-edit-cache.md +++ b/content/operate/rc/langcache/view-edit-cache.md @@ -39,20 +39,47 @@ The **Connectivity** section provides the connection details for your LangCache | **Cache ID** | The unique ID of your LangCache service. | | **API Base URL** | The base URL for LangCache API requests. | -Select the **Copy** button next to each value to copy them to the clipboard. See [use the LangCache API]({{< relref "/operate/rc/langcache/use-langcache" >}}) for more information on how to use these values. +Select the **Copy** button next to the Cache ID and API Base URL to copy them to the clipboard. If you lost the API key value or need to rotate the key, you can [replace the service API key](#replace-service-api-key) at any time. + +See [use the LangCache API]({{< relref "/operate/rc/langcache/use-langcache" >}}) for more information on how to use these values. + +#### Replace service API key + +The API key is only available immediately after you create the LangCache service. If you lost this value, or need to rotate the key, you can replace the service key at any time. + +To replace the service key: + +1. Select **Replace key**. + + {{The Replace Key button.}} + +1. A confirmation dialog will appear. Select **Confirm** to confirm. + +1. The new key will appear in a dialog box. Select **Copy** to copy the key to the clipboard. + + {{The LangCache service key window. Use the Copy button to save the service key to the clipboard.}} + + {{}} +This is the only time the value of the user key is available. Save it to a secure location before closing the dialog box.

+ +If you lose the service key value, you will need to replace the key again. + {{}} ### General The **General** section provides configuration details for your LangCache service. +{{The general settings for the LangCache service.}} + | Setting name |Description| |:----------------------|:----------| -| **Service name** | The name of the LangCache service. _(Editable)_ | +| **Service name** | The name of the LangCache service. | | **Database** | The database that stores your cache data. | -| **Distance threshold** | The minimum similarity score required to consider a cached response a match. _(Editable)_ | +| **Similarity threshold** | The minimum similarity score required to consider a cached response a match. _(Editable)_ | +| **TTL** | The number of seconds to cache entries before they expire. _(Editable)_ | | **Embedding Provider** | The embedding provider to use for your service. | -Some of the configuration settings can be changed after cache creation. To do so, select the **Edit** button. +Some of these settings can be changed after cache creation. To do so, select the **Edit** button. ### Attributes @@ -93,3 +120,7 @@ To delete your LangCache service: 1. Select **Delete** again to confirm. Deleting the LangCache service is permanent and cannot be undone. + +## Metrics tab + +The **Metrics** tab provides a series of graphs showing performance data for your LangCache service. 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zf_#nNTD)`xs(z=cy<*h_juCM=RxV?%adZ%T?At`*dk>&4cb)sDBNsT94rNMUr`7Ht zP(NI5muov|_dXqnJ+5J0^MRYmIPk%c#0ggkf2+}3o=J32PT6tcXa4qI1fFZ4W@h1@ zEtr%$?ff;cW#22J8{!{spzEu%j?V)5{g|mb(T(;gF`AzMfxi6oDEOr_Q^AG?;?2v} jo6QEE`Tz3I@9^^8sju{VN#n}cyUsF_3KGTQ`T_q9NTnb` literal 0 HcmV?d00001 From 326f48a730fca31319259bd15453253969263754 Mon Sep 17 00:00:00 2001 From: Cameron Bates Date: Thu, 26 Jun 2025 10:45:23 -0400 Subject: [PATCH 14/20] Add LLM cost reduction --- content/operate/rc/langcache/_index.md | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) diff --git a/content/operate/rc/langcache/_index.md b/content/operate/rc/langcache/_index.md index ec63131f07..71c498ad98 100644 --- a/content/operate/rc/langcache/_index.md +++ b/content/operate/rc/langcache/_index.md @@ -32,6 +32,29 @@ Using LangCache as a semantic caching service in Redis Cloud has the following b - **Simpler Deployments**: Access our managed service via a REST API with automated embedding generation, configurable controls. - **Advanced cache management**: Manage data access and privacy, eviction protocols, and monitor usage and cache hit rates. +### LLM Cost reduction with LangCache + +LangCache reduces your LLM costs by caching responses and avoiding repeated API calls. When a response is served from cache, you don’t pay for output tokens. Input token costs are typically offset by embedding and storage costs. + +For every cached response, you'll save the output token cost. To calculate your monthly savings with LangCache, you can use the following formula: + +```bash +Estimated monthly savings with LangCache = (Monthly output token costs) × (Cache hit rate) +``` + +The more requests you serve from LangCache, the more you save, because you’re not paying to regenerate the output. + +Here’s an example: +- Monthly LLM spend: $200 +- Percentage of output tokens in your spend: 60% +- Cost of output tokens: $200 × 60% = $120 +- Cache hit rate: 50% +- Estimated savings: $120 × 50% = $60/month + +{{}} +The forumla and numbers above will provide a rough estimate of your monthly savings. Actual savings will vary depending on your usage. +{{}} + ## LangCache architecture The following diagram displays how you can integrate LangCache into your GenAI app: From 72403d02567bf501317d0d2a75f48066aaa92cb0 Mon Sep 17 00:00:00 2001 From: Cameron Bates Date: Thu, 26 Jun 2025 10:45:39 -0400 Subject: [PATCH 15/20] Typo --- content/operate/rc/langcache/_index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/operate/rc/langcache/_index.md b/content/operate/rc/langcache/_index.md index 71c498ad98..e76c0b6d15 100644 --- a/content/operate/rc/langcache/_index.md +++ b/content/operate/rc/langcache/_index.md @@ -32,7 +32,7 @@ Using LangCache as a semantic caching service in Redis Cloud has the following b - **Simpler Deployments**: Access our managed service via a REST API with automated embedding generation, configurable controls. - **Advanced cache management**: Manage data access and privacy, eviction protocols, and monitor usage and cache hit rates. -### LLM Cost reduction with LangCache +### LLM cost reduction with LangCache LangCache reduces your LLM costs by caching responses and avoiding repeated API calls. When a response is served from cache, you don’t pay for output tokens. Input token costs are typically offset by embedding and storage costs. From 8baad94d4a04f6978e20579e9abd9f8c22a7fa28 Mon Sep 17 00:00:00 2001 From: Cameron Bates Date: Fri, 27 Jun 2025 10:44:55 -0400 Subject: [PATCH 16/20] Fix formula code block --- content/operate/rc/langcache/_index.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/content/operate/rc/langcache/_index.md b/content/operate/rc/langcache/_index.md index e76c0b6d15..5f21d18b71 100644 --- a/content/operate/rc/langcache/_index.md +++ b/content/operate/rc/langcache/_index.md @@ -39,7 +39,8 @@ LangCache reduces your LLM costs by caching responses and avoiding repeated API For every cached response, you'll save the output token cost. To calculate your monthly savings with LangCache, you can use the following formula: ```bash -Estimated monthly savings with LangCache = (Monthly output token costs) × (Cache hit rate) +Est. monthly savings with LangCache = + (Monthly output token costs) × (Cache hit rate) ``` The more requests you serve from LangCache, the more you save, because you’re not paying to regenerate the output. @@ -52,7 +53,7 @@ Here’s an example: - Estimated savings: $120 × 50% = $60/month {{}} -The forumla and numbers above will provide a rough estimate of your monthly savings. Actual savings will vary depending on your usage. +The formula and numbers above provide a rough estimate of your monthly savings. Actual savings will vary depending on your usage. {{}} ## LangCache architecture From 72c5045ed65c96945d8db2e8ae2c587d3e674961 Mon Sep 17 00:00:00 2001 From: Cameron Bates Date: Wed, 2 Jul 2025 16:38:34 -0400 Subject: [PATCH 17/20] LangCache: Move certain docs to develop/ai --- content/develop/ai/langcache.md | 96 -------------- content/develop/ai/langcache/_index.md | 111 +++++++++++++++++ content/develop/ai/langcache/api-reference.md | 117 ++++++++++++++++++ content/embeds/langcache-cost-reduction.md | 21 ++++ content/embeds/rc-langcache-get-started.md | 7 ++ content/operate/rc/langcache/_index.md | 72 ++--------- content/operate/rc/langcache/use-langcache.md | 99 +-------------- 7 files changed, 267 insertions(+), 256 deletions(-) delete mode 100644 content/develop/ai/langcache.md create mode 100644 content/develop/ai/langcache/_index.md create mode 100644 content/develop/ai/langcache/api-reference.md create mode 100644 content/embeds/langcache-cost-reduction.md create mode 100644 content/embeds/rc-langcache-get-started.md diff --git a/content/develop/ai/langcache.md b/content/develop/ai/langcache.md deleted file mode 100644 index 5c6e88927c..0000000000 --- a/content/develop/ai/langcache.md +++ /dev/null @@ -1,96 +0,0 @@ ---- -Title: Redis LangCache -alwaysopen: false -categories: -- docs -- develop -- ai -description: Redis LangCache provides semantic caching-as-a-service to reduce LLM costs and improve response times for AI applications. -linkTitle: LangCache -weight: 30 ---- - -Redis LangCache is a fully-managed semantic caching service that reduces large language model (LLM) costs and improves response times for AI applications. - -## How LangCache works - -LangCache uses semantic caching to store and reuse previous LLM responses for similar queries. Instead of calling the LLM for every request, LangCache: - -- **Checks for similar cached responses** when a new query arrives -- **Returns cached results instantly** if a semantically similar response exists -- **Stores new responses** for future reuse when no cache match is found - -## Key benefits - -### Cost reduction -LangCache significantly reduces LLM costs by eliminating redundant API calls. Since up to 90% of LLM requests are repetitive, caching frequently-requested responses provides substantial cost savings. - -### Improved performance -Cached responses are retrieved from memory, providing response times up to 15 times faster than LLM API calls. This improvement is particularly beneficial for retrieval-augmented generation (RAG) applications. - -### Simple deployment -LangCache is available as a managed service through a REST API. The service includes: - -- Automated embedding generation -- Configurable cache controls -- Simple billing structure -- No database management required - -### Advanced cache management -The service provides comprehensive cache management features: - -- Data access and privacy controls -- Configurable eviction protocols -- Usage monitoring and analytics -- Cache hit rate tracking - -## Use cases - -### AI assistants and chatbots -Optimize conversational AI applications by caching common responses and reducing latency for frequently asked questions. - -### RAG applications -Improve retrieval-augmented generation performance by caching responses to similar queries, reducing both cost and response time. - -### AI agents -Enhance multi-step reasoning chains and agent workflows by caching intermediate results and common reasoning patterns. - -### AI gateways -Integrate LangCache into centralized AI gateway services to manage and control LLM costs across multiple applications. - -## Getting started - -LangCache is currently available through a private preview program. The service is accessible via REST API and supports any programming language. - -### Prerequisites - -To use LangCache, you need: - -- An AI application that makes LLM API calls -- A use case involving repetitive or similar queries -- Willingness to provide feedback during the preview phase - -### Access - -LangCache is offered as a fully-managed cloud service. During the private preview: - -- Participation is free -- Usage limits may apply -- Dedicated support is provided -- Regular feedback sessions are conducted - -## Data security and privacy - -LangCache stores your data on your Redis servers. Redis does not access your data or use it to train AI models. The service maintains enterprise-grade security and privacy standards. - -## Support - -Private preview participants receive: - -- Dedicated onboarding resources -- Documentation and tutorials -- Email and chat support -- Regular check-ins with the product team -- Exclusive roadmap updates - -For more information about joining the private preview, visit the [Redis LangCache website](https://redis.io/langcache/). diff --git a/content/develop/ai/langcache/_index.md b/content/develop/ai/langcache/_index.md new file mode 100644 index 0000000000..a6fbdc352a --- /dev/null +++ b/content/develop/ai/langcache/_index.md @@ -0,0 +1,111 @@ +--- +Title: Redis LangCache +alwaysopen: false +categories: +- docs +- develop +- ai +description: Redis LangCache provides semantic caching-as-a-service to reduce LLM costs and improve response times for AI applications. +linkTitle: LangCache +hideListLinks: true +weight: 30 +--- + +Redis LangCache is a fully-managed semantic caching service that reduces large language model (LLM) costs and improves response times for AI applications. + +## LangCache overview + +LangCache uses semantic caching to store and reuse previous LLM responses for repeated queries. Instead of calling the LLM for every request, LangCache checks if a similar response has already been generated and is stored in the cache. If a match is found, LangCache returns the cached response instantly, saving time and resources. + +Imagine you’re using an LLM to build an agent to answer questions about your company's products. Your users may ask questions like the following: + +- "What are the features of Product A?" +- "Can you list the main features of Product A?" +- "Tell me about Product A’s features." + +These prompts may have slight variations, but they essentially ask the same question. LangCache can help you avoid calling the LLM for each of these prompts by caching the response to the first prompt and returning it for any similar prompts. + +Using LangCache as a semantic caching service has the following benefits: + +- **Lower LLM costs**: Reduce costly LLM calls by easily storing the most frequently-requested responses. +- **Faster AI app responses**: Get faster AI responses by retrieving previously-stored requests from memory. +- **Simpler Deployments**: Access our managed service via a REST API with automated embedding generation, configurable controls, and no database management required. +- **Advanced cache management**: Manage data access and privacy, eviction protocols, and monitor usage and cache hit rates. + +LangCache works well for the following use cases: + +- **AI assistants and chatbots**: Optimize conversational AI applications by caching common responses and reducing latency for frequently asked questions. +- **RAG applications**: Enhance retrieval-augmented generation performance by caching responses to similar queries, reducing both cost and response time.. +- **AI agents**: Improve multi-step reasoning chains and agent workflows by caching intermediate results and common reasoning patterns. +- **AI gateways**: Integrate LangCache into centralized AI gateway services to manage and control LLM costs across multiple applications.. + +### LLM cost reduction with LangCache + +{{< embed-md "langcache-cost-reduction.md" >}} + +## LangCache architecture + +The following diagram displays how you can integrate LangCache into your GenAI app: + +{{< image filename="images/rc/langcache-process.png" alt="The LangCache process diagram." >}} + +1. A user sends a prompt to your AI app. +1. Your app sends the prompt to LangCache through the `POST /v1/caches/{cacheId}/search` endpoint. +1. LangCache calls an embedding model service to generate an embedding for the prompt. +1. LangCache searches the cache to see if a similar response already exists by matching the embeddings of the new query with the stored embeddings. +1. If a semantically similar entry is found (also known as a cache hit), LangCache gets the cached response and returns it to your app. Your app can then send the cached response back to the user. +1. If no match is found (also known as a cache miss), your app receives an empty response from LangCache. Your app then queries your chosen LLM to generate a new response. +1. Your app sends the prompt and the new response to LangCache through the `POST /v1/caches/{cacheId}/entries` endpoint. +1. LangCache stores the embedding with the new response in the cache for future use. + +See the [LangCache API reference]({{< relref "/develop/ai/langcache/api-reference" >}}) for more information on how to use the LangCache API. + +## Get started + +LangCache is currently in preview through two different ways: + +- Public preview on [Redis Cloud]({{< relref "/operate/rc/langcache" >}}) +- Fully-managed [private preview](https://redis.io/langcache/) + +{{< multitabs id="langcache-get-started" + tab1="Redis Cloud" + tab2="Private preview" >}} + +{{< embed-md "rc-langcache-get-started.md" >}} + +-tab-sep- + +### Prerequisites + +To use LangCache in private preview, you need: + +- An AI application that makes LLM API calls +- A use case involving repetitive or similar queries +- Willingness to provide feedback during the preview phase + +### Access + +LangCache is offered as a fully-managed service. During the private preview: + +- Participation is free +- Usage limits may apply +- Dedicated support is provided +- Regular feedback sessions are conducted + +### Data security and privacy + +LangCache stores your data on your Redis servers. Redis does not access your data or use it to train AI models. The service maintains enterprise-grade security and privacy standards. + +### Support + +Private preview participants receive: + +- Dedicated onboarding resources +- Documentation and tutorials +- Email and chat support +- Regular check-ins with the product team +- Exclusive roadmap updates + +For more information about joining the private preview, visit the [Redis LangCache website](https://redis.io/langcache/). + +{{< /multitabs >}} diff --git a/content/develop/ai/langcache/api-reference.md b/content/develop/ai/langcache/api-reference.md new file mode 100644 index 0000000000..3f8128da42 --- /dev/null +++ b/content/develop/ai/langcache/api-reference.md @@ -0,0 +1,117 @@ +--- +alwaysopen: false +categories: +- docs +- develop +- ai +description: null +hideListLinks: true +linktitle: API reference +title: LangCache API reference +weight: 10 +--- + +You can use the LangCache API from your client app to store and retrieve LLM, RAG, or agent responses. + +To access the LangCache API, you need: + +- LangCache API base URL +- LangCache service API key +- Cache ID + +When you call the API, you need to pass the LangCache API key in the `Authorization` header as a Bearer token and the Cache ID as the `cacheId` path parameter. + +For example, to check the health of the cache using `cURL`: + +```bash +curl -s -X GET "https://$HOST/v1/caches/$CACHE_ID/health" \ + -H "accept: application/json" \ + -H "Authorization: Bearer $API_KEY" +``` + +- The example expects several variables to be set in the shell: + + - **$HOST** - the LangCache API base URL + - **$CACHE_ID** - the Cache ID of your cache + - **$API_KEY** - The LangCache API token + +{{% info %}} +This example uses `cURL` and Linux shell scripts to demonstrate the API; you can use any standard REST client or library. +{{% /info %}} + +## Check cache health + +Use `GET /v1/caches/{cacheId}/health` to check the health of the cache. + +```sh +GET https://[host]/v1/caches/{cacheId}/health +``` + +## Search LangCache for similar responses + +Use `POST /v1/caches/{cacheId}/search` to search the cache for matching responses to a user prompt. + +```sh +POST https://[host]/v1/caches/{cacheId}/search +{ + "prompt": "User prompt text" +} +``` + +Place this call in your client app right before you call your LLM's REST API. If LangCache returns a response, you can send that response back to the user instead of calling the LLM. + +If LangCache does not return a response, you should call your LLM's REST API to generate a new response. After you get a response from the LLM, you can [store it in LangCache](#store-a-new-response-in-langcache) for future use. + +You can also scope the responses returned from LangCache by adding an `attributes` object to the request. LangCache will only return responses that match the attributes you specify. + +```sh +POST https://[host]/v1/caches/{cacheId}/search +{ + "prompt": "User prompt text", + "attributes": { + "customAttributeName": "customAttributeValue" + } +} +``` + +## Store a new response in LangCache + +Use `POST /v1/caches/{cacheId}/entries` to store a new response in the cache. + +```sh +POST https://[host]/v1/caches/{cacheId}/entries +{ + "prompt": "User prompt text", + "response": "LLM response text" +} +``` + +Place this call in your client app after you get a response from the LLM. This will store the response in the cache for future use. + +You can also store the responses with custom attributes by adding an `attributes` object to the request. + +```sh +POST https://[host]/v1/caches/{cacheId}/entries +{ + "prompt": "User prompt text", + "response": "LLM response text", + "attributes": { + "customAttributeName": "customAttributeValue" + } +} +``` + +## Delete cached responses + +Use `DELETE /v1/caches/{cacheId}/entries/{entryId}` to delete a cached response from the cache. + +You can also use `DELETE /v1/caches/{cacheId}/entries` to delete multiple cached responses at once. If you provide an `attributes` object, LangCache will delete all responses that match the attributes you specify. + +```sh +DELETE https://[host]/v1/caches/{cacheId}/entries +{ + "attributes": { + "customAttributeName": "customAttributeValue" + } +} +``` diff --git a/content/embeds/langcache-cost-reduction.md b/content/embeds/langcache-cost-reduction.md new file mode 100644 index 0000000000..5850486ac2 --- /dev/null +++ b/content/embeds/langcache-cost-reduction.md @@ -0,0 +1,21 @@ +LangCache reduces your LLM costs by caching responses and avoiding repeated API calls. When a response is served from cache, you don’t pay for output tokens. Input token costs are typically offset by embedding and storage costs. + +For every cached response, you'll save the output token cost. To calculate your monthly savings with LangCache, you can use the following formula: + +```bash +Est. monthly savings with LangCache = + (Monthly output token costs) × (Cache hit rate) +``` + +The more requests you serve from LangCache, the more you save, because you’re not paying to regenerate the output. + +Here’s an example: +- Monthly LLM spend: $200 +- Percentage of output tokens in your spend: 60% +- Cost of output tokens: $200 × 60% = $120 +- Cache hit rate: 50% +- Estimated savings: $120 × 50% = $60/month + +{{}} +The formula and numbers above provide a rough estimate of your monthly savings. Actual savings will vary depending on your usage. +{{}} \ No newline at end of file diff --git a/content/embeds/rc-langcache-get-started.md b/content/embeds/rc-langcache-get-started.md new file mode 100644 index 0000000000..8d7e337fc1 --- /dev/null +++ b/content/embeds/rc-langcache-get-started.md @@ -0,0 +1,7 @@ +To set up LangCache on Redis Cloud: + +1. [Create a database]({{< relref "/operate/rc/databases/create-database" >}}) on Redis Cloud. +2. [Create a LangCache service]({{< relref "/operate/rc/langcache/create-service" >}}) for your database on Redis Cloud. +3. [Use the LangCache API]({{< relref "/operate/rc/langcache/use-langcache" >}}) from your client app. + +After you set up LangCache, you can [view and edit the cache]({{< relref "/operate/rc/langcache/view-edit-cache" >}}) and [monitor the cache's performance]({{< relref "/operate/rc/langcache/monitor-cache" >}}). \ No newline at end of file diff --git a/content/operate/rc/langcache/_index.md b/content/operate/rc/langcache/_index.md index 5f21d18b71..9496b06b35 100644 --- a/content/operate/rc/langcache/_index.md +++ b/content/operate/rc/langcache/_index.md @@ -6,77 +6,21 @@ categories: - rc description: Store LLM responses for AI applications in Redis Cloud. hideListLinks: true -linktitle: LangCache -title: Semantic caching with LangCache +linktitle: LangCache +title: Semantic caching with LangCache on Redis Cloud weight: 36 +bannerText: LangCache on Redis Cloud is currently available as a public preview. +bannerChildren: true --- LangCache is a semantic caching service available as a REST API that stores LLM responses for fast and cheaper retrieval, built on the Redis vector database. By using semantic caching, customers can significantly reduce API costs and lower the average latency of their generative AI applications. -## LangCache overview +For more information about how LangCache works, see the [LangCache overview]({{< relref "/develop/ai/langcache" >}}). -LangCache uses semantic caching to store and reuse previous LLM responses for repeated queries. Instead of calling the LLM for every request, LangCache checks if a similar response has already been generated and is stored in the cache. If a match is found, LangCache returns the cached response instantly, saving time and resources. +## LLM cost reduction with LangCache -Imagine you’re using an LLM to build an agent to answer questions about your company's products. Your users may ask questions like the following: - -- "What are the features of Product A?" -- "Can you list the main features of Product A?" -- "Tell me about Product A’s features." - -These prompts may have slight variations, but they essentially ask the same question. LangCache can help you avoid calling the LLM for each of these prompts by caching the response to the first prompt and returning it for any similar prompts. - -Using LangCache as a semantic caching service in Redis Cloud has the following benefits: - -- **Lower LLM costs**: Reduce costly LLM calls by easily storing the most frequently-requested responses. -- **Faster AI app responses**: Get faster AI responses by retrieving previously-stored requests from memory. -- **Simpler Deployments**: Access our managed service via a REST API with automated embedding generation, configurable controls. -- **Advanced cache management**: Manage data access and privacy, eviction protocols, and monitor usage and cache hit rates. - -### LLM cost reduction with LangCache - -LangCache reduces your LLM costs by caching responses and avoiding repeated API calls. When a response is served from cache, you don’t pay for output tokens. Input token costs are typically offset by embedding and storage costs. - -For every cached response, you'll save the output token cost. To calculate your monthly savings with LangCache, you can use the following formula: - -```bash -Est. monthly savings with LangCache = - (Monthly output token costs) × (Cache hit rate) -``` - -The more requests you serve from LangCache, the more you save, because you’re not paying to regenerate the output. - -Here’s an example: -- Monthly LLM spend: $200 -- Percentage of output tokens in your spend: 60% -- Cost of output tokens: $200 × 60% = $120 -- Cache hit rate: 50% -- Estimated savings: $120 × 50% = $60/month - -{{}} -The formula and numbers above provide a rough estimate of your monthly savings. Actual savings will vary depending on your usage. -{{}} - -## LangCache architecture - -The following diagram displays how you can integrate LangCache into your GenAI app: - -{{< image filename="images/rc/langcache-process.png" >}} - -1. A user sends a prompt to your AI app. -1. Your app sends the prompt to LangCache through the `POST /v1/caches/{cacheId}/search` endpoint. -1. LangCache calls an embedding model service to generate an embedding for the prompt. -1. LangCache searches the cache to see if a similar response already exists by matching the embeddings of the new query with the stored embeddings. -1. If a semantically similar entry is found (also known as a cache hit), LangCache gets the cached response and returns it to your app. Your app can then send the cached response back to the user. -1. If no match is found (also known as a cache miss), your app receives an empty response from LangCache. Your app then queries your chosen LLM to generate a new response. -1. Your app sends the prompt and the new response to LangCache through the `POST /v1/caches/{cacheId}/entries` endpoint. -1. LangCache stores the embedding with the new response in the cache for future use. +{{< embed-md "langcache-cost-reduction.md" >}} ## Get started with LangCache on Redis Cloud -To set up LangCache on Redis Cloud: - -1. [Create a database]({{< relref "/operate/rc/databases/create-database" >}}) on Redis Cloud. -2. [Create a LangCache service]({{< relref "/operate/rc/langcache/create-service" >}}) for your database. -3. [Use the LangCache API]({{< relref "/operate/rc/langcache/use-langcache" >}}) from your client app. - -After you set up LangCache, you can [view and edit the cache]({{< relref "/operate/rc/langcache/view-edit-cache" >}}) and [monitor the cache's performance]({{< relref "/operate/rc/langcache/monitor-cache" >}}). \ No newline at end of file +{{< embed-md "rc-langcache-get-started.md" >}} \ No newline at end of file diff --git a/content/operate/rc/langcache/use-langcache.md b/content/operate/rc/langcache/use-langcache.md index f344b685ef..80713073d1 100644 --- a/content/operate/rc/langcache/use-langcache.md +++ b/content/operate/rc/langcache/use-langcache.md @@ -7,7 +7,7 @@ categories: description: null hideListLinks: true linktitle: Use LangCache -title: Use the LangCache API with your GenAI app +title: Use the LangCache API on Redis Cloud weight: 10 --- @@ -19,103 +19,10 @@ To access the LangCache API, you need: - LangCache service API key - Cache ID -The base URL and cache ID are available in the LangCache service's **Configuration** page in the [**Connectivity** section]({{< relref "/operate/rc/langcache/view-edit-cache#connectivity" >}}). +For LangCache on Redis Cloud, the base URL and cache ID are available in the LangCache service's **Configuration** page in the [**Connectivity** section]({{< relref "/operate/rc/langcache/view-edit-cache#connectivity" >}}). The LangCache API key is only available immediately after you create the LangCache service. If you lost this value, you will need to [replace the service API key]({{< relref "/operate/rc/langcache/view-edit-cache#replace-service-api-key" >}}) to be able to use the LangCache API. When you call the API, you need to pass the LangCache API key in the `Authorization` header as a Bearer token and the Cache ID as the `cacheId` path parameter. -For example, to check the health of the cache using `cURL`: - -```bash -curl -s -X GET "https://$HOST/v1/caches/$CACHE_ID/health" \ - -H "accept: application/json" \ - -H "Authorization: Bearer $API_KEY" -``` - -- The example expects several variables to be set in the shell: - - - **$HOST** - the LangCache API base URL - - **$CACHE_ID** - the Cache ID of your cache - - **$API_KEY** - The LangCache API token - -{{% info %}} -This example uses `cURL` and Linux shell scripts to demonstrate the API; you can use any standard REST client or library. -{{% /info %}} - -## Check cache health - -Use `GET /v1/caches/{cacheId}/health` to check the health of the cache. - -```sh -GET https://[host]/v1/caches/{cacheId}/health -``` - -## Search LangCache for similar responses - -Use `POST /v1/caches/{cacheId}/search` to search the cache for matching responses to a user prompt. - -```sh -POST https://[host]/v1/caches/{cacheId}/search -{ - "prompt": "User prompt text" -} -``` - -Place this call in your client app right before you call your LLM's REST API. If LangCache returns a response, you can send that response back to the user instead of calling the LLM. - -If LangCache does not return a response, you should call your LLM's REST API to generate a new response. After you get a response from the LLM, you can [store it in LangCache](#store-a-new-response-in-langcache) for future use. - -You can also scope the responses returned from LangCache by adding an `attributes` object to the request. LangCache will only return responses that match the attributes you specify. - -```sh -POST https://[host]/v1/caches/{cacheId}/search -{ - "prompt": "User prompt text", - "attributes": { - "customAttributeName": "customAttributeValue" - } -} -``` - -## Store a new response in LangCache - -Use `POST /v1/caches/{cacheId}/entries` to store a new response in the cache. - -```sh -POST https://[host]/v1/caches/{cacheId}/entries -{ - "prompt": "User prompt text", - "response": "LLM response text" -} -``` - -Place this call in your client app after you get a response from the LLM. This will store the response in the cache for future use. - -You can also store the responses with custom attributes by adding an `attributes` object to the request. - -```sh -POST https://[host]/v1/caches/{cacheId}/entries -{ - "prompt": "User prompt text", - "response": "LLM response text", - "attributes": { - "customAttributeName": "customAttributeValue" - } -} -``` - -## Delete cached responses - -Use `DELETE /v1/caches/{cacheId}/entries/{entryId}` to delete a cached response from the cache. - -You can also use `DELETE /v1/caches/{cacheId}/entries` to delete multiple cached responses at once. If you provide an `attributes` object, LangCache will delete all responses that match the attributes you specify. - -```sh -DELETE https://[host]/v1/caches/{cacheId}/entries -{ - "attributes": { - "customAttributeName": "customAttributeValue" - } -} -``` +See the [LangCache API reference]({{< relref "/develop/ai/langcache/api-reference" >}}) for more information on how to use the LangCache API. From 6247f382a69e631fe30015ea3447017ee39d4442 Mon Sep 17 00:00:00 2001 From: Cameron Bates <102550101+cmilesb@users.noreply.github.com> Date: Thu, 3 Jul 2025 09:53:47 -0400 Subject: [PATCH 18/20] Apply suggestions from code review Co-authored-by: mich-elle-luna <153109578+mich-elle-luna@users.noreply.github.com> --- content/develop/ai/langcache/_index.md | 8 ++++---- content/develop/ai/langcache/api-reference.md | 2 +- content/operate/rc/langcache/_index.md | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/content/develop/ai/langcache/_index.md b/content/develop/ai/langcache/_index.md index a6fbdc352a..db56ec3c9c 100644 --- a/content/develop/ai/langcache/_index.md +++ b/content/develop/ai/langcache/_index.md @@ -5,7 +5,7 @@ categories: - docs - develop - ai -description: Redis LangCache provides semantic caching-as-a-service to reduce LLM costs and improve response times for AI applications. +description: Store LLM responses for AI apps in a semantic cache. linkTitle: LangCache hideListLinks: true weight: 30 @@ -29,13 +29,13 @@ Using LangCache as a semantic caching service has the following benefits: - **Lower LLM costs**: Reduce costly LLM calls by easily storing the most frequently-requested responses. - **Faster AI app responses**: Get faster AI responses by retrieving previously-stored requests from memory. -- **Simpler Deployments**: Access our managed service via a REST API with automated embedding generation, configurable controls, and no database management required. +- **Simpler Deployments**: Access our managed service using a REST API with automated embedding generation, configurable controls, and no database management required. - **Advanced cache management**: Manage data access and privacy, eviction protocols, and monitor usage and cache hit rates. LangCache works well for the following use cases: - **AI assistants and chatbots**: Optimize conversational AI applications by caching common responses and reducing latency for frequently asked questions. -- **RAG applications**: Enhance retrieval-augmented generation performance by caching responses to similar queries, reducing both cost and response time.. +- **RAG applications**: Enhance retrieval-augmented generation performance by caching responses to similar queries, reducing both cost and response time. - **AI agents**: Improve multi-step reasoning chains and agent workflows by caching intermediate results and common reasoning patterns. - **AI gateways**: Integrate LangCache into centralized AI gateway services to manage and control LLM costs across multiple applications.. @@ -62,7 +62,7 @@ See the [LangCache API reference]({{< relref "/develop/ai/langcache/api-referenc ## Get started -LangCache is currently in preview through two different ways: +LangCache is currently in preview: - Public preview on [Redis Cloud]({{< relref "/operate/rc/langcache" >}}) - Fully-managed [private preview](https://redis.io/langcache/) diff --git a/content/develop/ai/langcache/api-reference.md b/content/develop/ai/langcache/api-reference.md index 3f8128da42..6df372b383 100644 --- a/content/develop/ai/langcache/api-reference.md +++ b/content/develop/ai/langcache/api-reference.md @@ -4,7 +4,7 @@ categories: - docs - develop - ai -description: null +description: Learn to use the Redis LangCache API for semantic caching. hideListLinks: true linktitle: API reference title: LangCache API reference diff --git a/content/operate/rc/langcache/_index.md b/content/operate/rc/langcache/_index.md index 9496b06b35..9d121dd31f 100644 --- a/content/operate/rc/langcache/_index.md +++ b/content/operate/rc/langcache/_index.md @@ -13,7 +13,7 @@ bannerText: LangCache on Redis Cloud is currently available as a public preview. bannerChildren: true --- -LangCache is a semantic caching service available as a REST API that stores LLM responses for fast and cheaper retrieval, built on the Redis vector database. By using semantic caching, customers can significantly reduce API costs and lower the average latency of their generative AI applications. +LangCache is a semantic caching service available as a REST API that stores LLM responses for fast and cheaper retrieval, built on the Redis vector database. By using semantic caching, you can significantly reduce API costs and lower the average latency of your generative AI applications. For more information about how LangCache works, see the [LangCache overview]({{< relref "/develop/ai/langcache" >}}). From f442476ea8e5b99b2652f6696e91d86cc856aa4e Mon Sep 17 00:00:00 2001 From: Cameron Bates Date: Thu, 3 Jul 2025 10:07:25 -0400 Subject: [PATCH 19/20] Add LangCache SDK --- content/develop/ai/langcache/api-reference.md | 20 +++++++++++++++---- 1 file changed, 16 insertions(+), 4 deletions(-) diff --git a/content/develop/ai/langcache/api-reference.md b/content/develop/ai/langcache/api-reference.md index 6df372b383..fe0bb10bee 100644 --- a/content/develop/ai/langcache/api-reference.md +++ b/content/develop/ai/langcache/api-reference.md @@ -39,7 +39,11 @@ curl -s -X GET "https://$HOST/v1/caches/$CACHE_ID/health" \ This example uses `cURL` and Linux shell scripts to demonstrate the API; you can use any standard REST client or library. {{% /info %}} -## Check cache health +You can also use the [LangCache SDKs](#langcache-sdk) for Javascript and Python to access the API. + +## API examples + +### Check cache health Use `GET /v1/caches/{cacheId}/health` to check the health of the cache. @@ -47,7 +51,7 @@ Use `GET /v1/caches/{cacheId}/health` to check the health of the cache. GET https://[host]/v1/caches/{cacheId}/health ``` -## Search LangCache for similar responses +### Search LangCache for similar responses Use `POST /v1/caches/{cacheId}/search` to search the cache for matching responses to a user prompt. @@ -74,7 +78,7 @@ POST https://[host]/v1/caches/{cacheId}/search } ``` -## Store a new response in LangCache +### Store a new response in LangCache Use `POST /v1/caches/{cacheId}/entries` to store a new response in the cache. @@ -101,7 +105,7 @@ POST https://[host]/v1/caches/{cacheId}/entries } ``` -## Delete cached responses +### Delete cached responses Use `DELETE /v1/caches/{cacheId}/entries/{entryId}` to delete a cached response from the cache. @@ -115,3 +119,11 @@ DELETE https://[host]/v1/caches/{cacheId}/entries } } ``` +## LangCache SDK + +If your app is written in Javascript or Python, you can also use the LangCache Software Development Kits (SDKs) to access the API. + +To learn how to use the LangCache SDKs: + +- [LangCache SDK for Javascript](https://www.npmjs.com/package/@redis-ai/langcache) +- [LangCache SDK for Python](https://pypi.org/project/langcache/) From 1c2dbef1676efdfbfbdc9022ef4662ed0bd505a7 Mon Sep 17 00:00:00 2001 From: Cameron Bates Date: Thu, 3 Jul 2025 10:09:21 -0400 Subject: [PATCH 20/20] Add SDK in title and LinkTitle --- content/develop/ai/langcache/api-reference.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/develop/ai/langcache/api-reference.md b/content/develop/ai/langcache/api-reference.md index fe0bb10bee..c94ed98dd2 100644 --- a/content/develop/ai/langcache/api-reference.md +++ b/content/develop/ai/langcache/api-reference.md @@ -6,8 +6,8 @@ categories: - ai description: Learn to use the Redis LangCache API for semantic caching. hideListLinks: true -linktitle: API reference -title: LangCache API reference +linktitle: API and SDK reference +title: LangCache API and SDK reference weight: 10 ---