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fix: update catalog reference to 1.7.0.2 #3057

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May 21, 2025
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fix: update catalog reference to 1.7.0.2 #3057

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28 changes: 14 additions & 14 deletions packages/backend/src/assets/ai.json
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Original file line number Diff line number Diff line change
Expand Up @@ -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": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "natural-language-processing",
"categories": ["natural-language-processing"],
"basedir": "recipes/natural_language_processing/chatbot",
Expand All @@ -28,7 +28,7 @@
"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": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "natural-language-processing",
"categories": ["natural-language-processing"],
"basedir": "recipes/natural_language_processing/chatbot-pydantic-ai",
Expand All @@ -43,7 +43,7 @@
"description": "This recipe shows how ReAct can be used to create an intelligent music discovery assistant with Spotify API.",
"name": "ReAct Agent Application",
"repository": "https://github.com/containers/ai-lab-recipes",
"ref": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "natural-language-processing",
"categories": ["natural-language-processing"],
"basedir": "recipes/natural_language_processing/agents",
Expand All @@ -65,7 +65,7 @@
"description": "This recipe guides into creating custom LLM-powered summarization applications using Streamlit.",
"name": "Summarizer",
"repository": "https://github.com/containers/ai-lab-recipes",
"ref": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "natural-language-processing",
"categories": ["natural-language-processing"],
"basedir": "recipes/natural_language_processing/summarizer",
Expand All @@ -88,7 +88,7 @@
"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": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "generator",
"categories": ["natural-language-processing"],
"basedir": "recipes/natural_language_processing/codegen",
Expand All @@ -109,7 +109,7 @@
"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": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "natural-language-processing",
"categories": ["natural-language-processing"],
"basedir": "recipes/natural_language_processing/rag",
Expand All @@ -131,7 +131,7 @@
"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": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "natural-language-processing",
"categories": ["natural-language-processing"],
"basedir": "recipes/natural_language_processing/rag-nodejs",
Expand All @@ -153,7 +153,7 @@
"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": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "natural-language-processing",
"categories": ["natural-language-processing"],
"basedir": "recipes/natural_language_processing/chatbot-java-quarkus",
Expand All @@ -175,7 +175,7 @@
"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": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "natural-language-processing",
"categories": ["natural-language-processing"],
"basedir": "recipes/natural_language_processing/chatbot-nodejs",
Expand All @@ -197,7 +197,7 @@
"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": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "natural-language-processing",
"categories": ["natural-language-processing"],
"basedir": "recipes/natural_language_processing/function_calling",
Expand All @@ -215,7 +215,7 @@
"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": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "natural-language-processing",
"categories": ["natural-language-processing"],
"basedir": "recipes/natural_language_processing/function-calling-nodejs",
Expand All @@ -233,7 +233,7 @@
"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": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "natural-language-processing",
"categories": ["natural-language-processing"],
"basedir": "recipes/natural_language_processing/graph-rag",
Expand All @@ -248,7 +248,7 @@
"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": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "generator",
"categories": ["audio"],
"basedir": "recipes/audio/audio_to_text",
Expand All @@ -263,7 +263,7 @@
"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": "v1.7.0.1",
"ref": "v1.7.0.2",
"icon": "generator",
"categories": ["computer-vision"],
"basedir": "recipes/computer_vision/object_detection",
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