DOC-829 | GraphRAG: Add multi-file import, semantic units, restructure content

site/content/ai-suite/graphrag/_index.md

@@ -79,5 +79,5 @@ conceptual understanding.
 - **[GraphRAG Tutorial using integrated Notebook servers](tutorial-notebook.md)**: Follow hands-on examples and implementation guidance via Jupyter Notebooks.
 
 For deeper implementation details, explore the individual services:
-- **[Importer Service](../reference/importer.md)**: Transform documents into knowledge graphs.
+- **[Importer Service](../reference/importer/)**: Transform documents into knowledge graphs.
 - **[Retriever Service](../reference/retriever.md)**: Query and extract insights from your knowledge graphs.

site/content/ai-suite/graphrag/technical-overview.md

@@ -68,7 +68,7 @@ The web interface guides you through the process of the following:
 ### API and Services
 
 The [AI Orchestrator](../reference/ai-orchestrator.md), 
-[Importer](../reference/importer.md), and [Retriever](../reference/retriever.md) 
+[Importer](../reference/importer/), and [Retriever](../reference/retriever.md) 
 services provide programmatic access to create and manage GraphRAG pipelines, 
 and give you access to advanced search methods.
 
@@ -106,7 +106,7 @@ information in a structured graph format, allowing efficient querying and retrie
 3. Store the generated Knowledge Graph in the database for retrieval and reasoning.
 
 For detailed information about the service, see the
-[Importer](../reference/importer.md) service documentation.
+[Importer](../reference/importer/) service documentation.
 
 ### Query your Knowledge Graph
 
@@ -153,14 +153,13 @@ OpenAI, OpenRouter, Google Gemini, Anthropic Claude, and any corporate or self-h
 LLM with OpenAI-compatible endpoints.
 
 For detailed configuration examples, see:
-- [Importer - Deployment Options](../reference/importer.md#deployment-options)
+- [Importer - Deployment Options](../reference/importer/#deployment-options)
 - [Retriever - Installation](../reference/retriever.md#installation)
 
 ## Limitations
 
 The pre-release version of Arango GraphRAG has the following limitations:
 
-- You can only import a single file.
 - The knowledge graph generated from the file is imported into a named graph
-  with a fixed name of `KnowledgeGraph` and set of collections which also have
-  fixed names.
+  with the name `{project_name}_kg` and set of collections prefixed with your
+  project name (e.g., `{project_name}_Documents`, `{project_name}_Chunks`, etc.).

site/content/ai-suite/graphrag/web-interface.md

@@ -94,7 +94,7 @@ service automatically downloads and loads models from the MLflow registry.
 
 {{< /tabs >}}
 
-See also the [Importer](../reference/importer.md) service documentation.
+See also the [Importer](../reference/importer/) service documentation.
 
 ## Add data source
 

site/content/ai-suite/reference/ai-orchestrator.md

@@ -59,7 +59,7 @@ The following example shows a complete request body with all available options:
   they can be used.
 
 The parameters required for the deployment of each service are defined in the
-corresponding service documentation. See [Importer](importer.md)
+corresponding service documentation. See [Importer](importer/)
 and [Retriever](retriever.md).
 
 ## Projects
@@ -182,7 +182,7 @@ documentation.
 
 ## Complete Service lifecycle example
 
-The example below shows how to install, monitor, and uninstall the [Importer](importer.md) service.
+The example below shows how to install, monitor, and uninstall the [Importer](importer/) service.
 
 ### Step 1: Installing the service