redis-developer/redis-ai-resources
📦 Open Source Projectredis-developer
A curated collection of resources, integrations, and examples for building AI applications with Redis.
The redis-developer/redis-ai-resources repository is a vital technical resource for engineers integrating Redis into their AI stack. It focuses on the practical application of Redis as a vector database, showcasing how to perform low-latency vector similarity searches and manage feature stores for real-time inference. The repository includes a variety of Jupyter Notebooks and integration guides that demonstrate how Redis interacts with popular AI frameworks and libraries. Key technical areas covered include vector indexing, embedding storage, and the implementation of Retrieval-Augmented Generation (RAG) architectures. By consolidating community-driven examples and official integrations, it helps developers overcome common hurdles in deploying production-grade AI systems. The repository is frequently updated to reflect the latest advancements in the Redis AI ecosystem, making it an essential bookmark for those building scalable, high-performance AI applications that require sub-millisecond data retrieval.
💡Highlights
- ├─Vector search & RAG examples
- ├─Feature store implementation guides
- └─Jupyter Notebook-based tutorials
🎯For
- ├─AI Engineers
- ├─Backend Developers
- └─Data Scientists