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| --- | ||
| Title: Redis AI notebooks collection | ||
| alwaysopen: false | ||
| categories: | ||
| - docs | ||
| - develop | ||
| - stack | ||
| - oss | ||
| - rc | ||
| - rs | ||
| description: This collection showcases how Redis can be integrated into AI workflows to enhance performance, reduce latency, and enable real-time AI applications. Each notebook comes with complete code examples, explanations, and integration guides. | ||
| linkTitle: AI notebooks collection | ||
| weight: 40 | ||
| --- | ||
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| | Notebook | Category | Description | | | ||
| |----------|----------|-------------|--| | ||
| | The place to start if you are brand new to Redis | Introduction | Great for Redis beginners looking for a guided Colab experience. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/redis-intro/00_redis_intro.ipynb) | | ||
| | Implementing hybrid search with Redis | Hybrid and Vector Search | Combines vector similarity with keyword filters. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/02_hybrid_search.ipynb) | | ||
| | Vector search with Redis Python client | Hybrid and Vector Search | Demonstrates pure vector search using the Redis Python client. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/00_redispy.ipynb) | | ||
| | Vector search with Redis Vector Library | Hybrid and Vector Search | Uses RedisVL for advanced vector indexing and querying. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/01_redisvl.ipynb) | | ||
| | RAG from scratch with Redis Vector Library | RAG | Basic RAG implementation using RedisVL. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/RAG/01_redisvl.ipynb) | | ||
| | RAG using Redis and LangChain | RAG | Shows integration between Redis and LangChain for RAG. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/RAG/02_langchain.ipynb) | | ||
| | RAG using Redis and LlamaIndex | RAG | Walkthrough of RAG with Redis and LlamaIndex. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/RAG/03_llamaindex.ipynb) | | ||
| | Advanced RAG with redisvl | RAG | Advanced concepts and techniques using RedisVL. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/RAG/04_advanced_redisvl.ipynb) | | ||
| | RAG using Redis and Nvidia | RAG | NVIDIA + Redis for LLM context retrieval. | [Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/RAG/05_nvidia_ai_rag_redis.ipynb) | | ||
| | 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) | | ||
| | 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) | | ||
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| | 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) | | ||
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| | 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) | | ||
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