diff --git a/packages/backend/src/assets/ai.json b/packages/backend/src/assets/ai.json
index 58dfd649c..44a4b214f 100644
--- a/packages/backend/src/assets/ai.json
+++ b/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": "v1.7.0.1",
+      "ref": "v1.7.0.2",
       "icon": "natural-language-processing",
       "categories": ["natural-language-processing"],
       "basedir": "recipes/natural_language_processing/chatbot",
@@ -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",
@@ -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",
@@ -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",
@@ -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",
@@ -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",
@@ -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",
@@ -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",
@@ -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",
@@ -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",
@@ -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",
@@ -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",
@@ -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",
@@ -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",