fix: update catalog reference to 1.5.0 (#2585)

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": "v1.3.3.2",
+      "ref": "v1.5.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/chatbot",
@@ -26,7 +26,7 @@
       "description": "This recipe guides into creating custom LLM-powered summarization applications using Streamlit.",
       "name": "Summarizer",
       "repository": "https://github.com/containers/ai-lab-recipes",
-      "ref": "v1.3.3.2",
+      "ref": "v1.5.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/summarizer",
@@ -46,7 +46,7 @@
       "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": "v1.3.3.2",
+      "ref": "v1.5.0",
       "icon": "generator",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/codegen",
@@ -65,7 +65,7 @@
       "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": "v1.3.3.2",
+      "ref": "v1.5.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/rag",
@@ -85,7 +85,7 @@
       "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": "28819abe5e941114ef71794c907c86bd6ba09b0b",
+      "ref": "v1.5.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/rag-nodejs",
@@ -105,7 +105,7 @@
       "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": "v1.3.3.2",
+      "ref": "v1.5.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/chatbot-java-quarkus",
@@ -125,7 +125,7 @@
       "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": "v1.3.3.2",
+      "ref": "v1.5.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/chatbot-nodejs",
@@ -145,7 +145,7 @@
       "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": "v1.3.3.2",
+      "ref": "v1.5.0",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/function_calling",
@@ -160,7 +160,7 @@
       "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": "v1.3.3.2",
+      "ref": "v1.5.0",
       "icon": "generator",
       "categories": ["audio"],
       "basedir": "recipes/audio/audio_to_text",
@@ -175,7 +175,7 @@
       "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": "v1.3.3.2",
+      "ref": "v1.5.0",
       "icon": "generator",
       "categories": ["computer-vision"],
       "basedir": "recipes/computer_vision/object_detection",