fix: update catalog reference to 1.6.0 (#2727)

Signed-off-by: Jeff MAURY <[email protected]>

Author: jeffmaury

packages/backend/src/assets/ai.json

@@ -6,7 +6,7 @@
       "description": "This recipe provides a blueprint for developers to create their own AI-powered chat applications using Streamlit.",
       "name": "ChatBot",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.5.0",
+      "ref": "v1.6.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/chatbot",
@@ -27,7 +27,7 @@
       "description": "This recipe provides a blueprint for developers to create their own AI-powered chat applications with the pydantic framework using Streamlit",
       "name": "Chatbot PydanticAI",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.5.0",
+      "ref": "v1.6.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/chatbot-pydantic-ai",
@@ -42,7 +42,7 @@
       "description": "This recipe guides into creating custom LLM-powered summarization applications using Streamlit.",
       "name": "Summarizer",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.5.0",
+      "ref": "v1.6.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/summarizer",
@@ -63,7 +63,7 @@
       "description": "This recipes showcases how to leverage LLM to build your own custom code generation application.",
       "name": "Code Generation",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.5.0",
+      "ref": "v1.6.0",
       "icon": "generator",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/codegen",
@@ -83,7 +83,7 @@
       "description": "This application illustrates how to integrate RAG (Retrieval Augmented Generation) into LLM applications enabling to interact with your own documents.",
       "name": "RAG Chatbot",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.5.0",
+      "ref": "v1.6.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/rag",
@@ -104,7 +104,7 @@
       "description": "This application illustrates how to integrate RAG (Retrieval Augmented Generation) into LLM applications written in Node.js enabling to interact with your own documents.",
       "name": "Node.js RAG Chatbot",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.5.0",
+      "ref": "v1.6.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/rag-nodejs",
@@ -125,7 +125,7 @@
       "description": "This is a Java Quarkus-based recipe demonstrating how to create an AI-powered chat applications.",
       "name": "Java-based ChatBot (Quarkus)",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.5.0",
+      "ref": "v1.6.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/chatbot-java-quarkus",
@@ -146,7 +146,7 @@
       "description": "This is a NodeJS based recipe demonstrating how to create an AI-powered chat applications.",
       "name": "Node.js based ChatBot",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.5.0",
+      "ref": "v1.6.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/chatbot-nodejs",
@@ -167,7 +167,7 @@
       "description": "This recipes guides into multiple function calling use cases, showing the ability to structure data and chain multiple tasks, using Streamlit.",
       "name": "Function calling",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.5.0",
+      "ref": "v1.6.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/function_calling",
@@ -182,7 +182,7 @@
       "description": "This recipes guides into multiple function calling use cases, showing the ability to structure data and chain multiple tasks, using Streamlit.",
       "name": "Node.js Function calling",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "main",
+      "ref": "v1.6.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/function-calling-nodejs",
@@ -197,7 +197,7 @@
       "description": "This demo provides a recipe to build out a custom Graph RAG (Graph Retrieval Augmented Generation) application using the repo LightRag which abstracts Microsoft's GraphRag implementation. It consists of two main components; the Model Service, and the AI Application with a built in Database.",
       "name": "Graph RAG Chat Application",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "53def1030a84ad3dc07deee6e02d905efd5e6d59",
+      "ref": "v1.6.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/graph-rag",
@@ -212,7 +212,7 @@
       "description": "This application demonstrate how to use LLM for transcripting an audio into text.",
       "name": "Audio to Text",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.5.0",
+      "ref": "v1.6.0",
       "icon": "generator",
       "categories": ["audio"],
       "basedir": "recipes/audio/audio_to_text",
@@ -227,7 +227,7 @@
       "description": "This recipe illustrates how to use LLM to interact with images and build object detection applications.",
       "name": "Object Detection",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.5.0",
+      "ref": "v1.6.0",
       "icon": "generator",
       "categories": ["computer-vision"],
       "basedir": "recipes/computer_vision/object_detection",