Smarter RAG Pipelines: Scaling Vector Search with Milvus and Feast

Learn how Milvus and Feast can be used together to scale vector search and easily declare views for retrieval using open source. We’ll demonstrate how to integrate Milvus with Feast to build a customized RAG pipeline. Topics Covered - Leverage Feast for dynamic metadata and document storage and retrieval, ensuring that the correct data is always available at inference time - Learn how to integrate Feast with Milvus to support vector-based retrieval in RAG systems - Use Milvus for fast, high-dimensional similarity search, enhancing the retrieval phase of your RAG model ▼ ▽ LINKS & RESOURCES Slides: https://www.slideshare.net/slideshow/smarter-rag-pipelines-scaling-search-with-milvus-and-feast/277498286 Tutorial: https://milvus.io/docs/build_RAG_with_milvus_and_feast.md Blog with Feast: https://feast.dev/blog/rag-with-feast/ GitHub repo: https://github.com/feast-dev/feast/tree/master/examples/rag ▼ ▽ JOIN THE COMMUNITY - MILVUS Discord channel Join this active community of Milvus users to get help, learn tips and tricks on how to use Milvus, or just get to be part of a vibrant community of smart developers! https://discord.com/invite/8uyFbECzPX ▶ CONNECT WITH US X: https://twitter.com/zilliz_universe LINKEDIN: https://www.linkedin.com/company/zilliz/ WEBSITE: https://zilliz.com/ PODCAST: https://creators.spotify.com/pod/show/chloe-williams8/episodes/Inside-the-AI-Agent-Revolution-e2ug0dh/a-abp1mtd