remove github links

Author: mich-elle-luna

content/develop/ai/notebook-collection.md

@@ -28,13 +28,9 @@ weight: 40
 | Utilize RAGAS framework to evaluate RAG performance | RAG | Evaluation of RAG apps using the RAGAS framework. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/RAG/06_ragas_evaluation.ipynb) |
 | LangGraph and agents | Agents | Getting started with agent workflows. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/agents/00_langgraph_redis_agentic_rag.ipynb) |
 | Movie recommendation system | Agents | Collaborative agent-based movie recommender. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/agents/01_crewai_langgraph_redis.ipynb) |
-| LLM session manager with semantic similarity | LLM Memory | Tracks conversation sessions using Redis and similarity. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/llm-session-manager/00_llm_session_manager.ipynb) |
-| Multiple simultaneous chat sessions | LLM Memory | Supports handling multiple chat threads. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/llm-session-manager/01_multiple_sessions.ipynb) |
-| Semantic cache with Llama3.1 | Semantic Caching | Uses Doc2Cache framework with Llama3.1. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/semantic-cache/doc2cache_llama3_1.ipynb) |
-| Semantic cache with Gemini | Semantic Caching | Gemini-based semantic caching demo. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/semantic-cache/semantic_caching_gemini.ipynb) |
-| Facial recognition | Computer Vision | Face matching using Facenet and RedisVL. | [Open in Colab](https://github.com/redis-developer/redis-ai-resources/blob/main/python-recipes/computer-vision/00_facial_recognition_facenet.ipynb) |
-| Content filtering with redisvl | Recommendation Systems | Introduction to content-based filtering. | [Open in Colab](https://github.com/redis-developer/redis-ai-resources/blob/main/python-recipes/recommendation-systems/00_content_filtering.ipynb) |
-| Collaborative filtering with redisvl | Recommendation Systems | Intro to collaborative filtering with RedisVL. | [Open in Colab](https://github.com/redis-developer/redis-ai-resources/blob/main/python-recipes/recommendation-systems/01_collaborative_filtering.ipynb) |
-| Advanced RAG example | Best Practices | Demonstrates mature RAG implementation patterns. | [Open in Colab](https://github.com/redis-developer/redis-ai-resources/blob/main/python-recipes/RAG/04_advanced_redisvl.ipynb) |
+| Facial recognition | Computer Vision | Face matching using Facenet and RedisVL. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/computer-vision/00_facial_recognition_facenet.ipynb) |
+| Content filtering with redisvl | Recommendation Systems | Introduction to content-based filtering. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/recommendation-systems/00_content_filtering.ipynb) |
+| Collaborative filtering with redisvl | Recommendation Systems | Intro to collaborative filtering with RedisVL. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/recommendation-systems/01_collaborative_filtering.ipynb) |
+| Advanced RAG example | Best Practices | Demonstrates mature RAG implementation patterns. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/RAG/04_advanced_redisvl.ipynb) |