r/Rag
RAG (Retrieval-augmented generation)
Welcome to r/Rag, the community for everything Retrieval-Augmented Generation (RAG)! RAG combines retrieval systems with generative models to create more accurate responses, enhancing applications like customer support and research. Join us to discuss RAG techniques, projects, and tools. Whether you're a researcher, developer, or AI enthusiast, you'll find tips, tutorials, and support to innovate with RAG!
Community Stats
- Subscribers
- 72k
- Content rating
- SFW
- Created
- 2021-08-17
r/Rag is a SFW subreddit with 72 thousand subscribers, created in 2021.
