Redis AI notebooks collection

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.

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
Implementing hybrid search with Redis Hybrid and Vector Search Combines vector similarity with keyword filters. Open in Colab
Vector search with Redis Python client Hybrid and Vector Search Demonstrates pure vector search using the Redis Python client. Open in Colab
Vector search with Redis Vector Library Hybrid and Vector Search Uses RedisVL for advanced vector indexing and querying. Open in Colab
RAG from scratch with Redis Vector Library RAG Basic RAG implementation using RedisVL. Open in Colab
RAG using Redis and LangChain RAG Shows integration between Redis and LangChain for RAG. Open in Colab
RAG using Redis and LlamaIndex RAG Walkthrough of RAG with Redis and LlamaIndex. Open in Colab
Advanced RAG with RedisVL RAG Advanced concepts and techniques using RedisVL. Open in Colab
RAG using Redis and Nvidia RAG NVIDIA + Redis for LLM context retrieval. Open in Colab
Utilize RAGAS framework to evaluate RAG performance RAG Evaluation of RAG apps using the RAGAS framework. Open in Colab
LangGraph and agents Agents Getting started with agent workflows. Open in Colab
Movie recommendation system Agents Collaborative agent-based movie recommender. Open in Colab
Facial recognition Computer Vision Face matching using Facenet and RedisVL. Open in Colab
Content filtering with RedisVL Recommendation Systems Introduction to content-based filtering. Open in Colab
Collaborative filtering with RedisVL Recommendation Systems Intro to collaborative filtering with RedisVL. Open in Colab
Advanced RAG example Best Practices Demonstrates mature RAG implementation patterns. Open in Colab
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