// SUBREDDIT_PROFILE
r/rag
› 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!
// MEMBERS
81,380
› subscribers
// POSTS_INDEXED
1,676
› analyzed records
// COMMUNITY_AGE
5y
› since 2021-08-17
// STATUS
[ok] active
› feed indexed
// QUICK_ACTIONS
// Recent posts in r/rag
[ latest we indexed · by upvotes ]- 01 Everytime the same shit... Another Agent another RAG. ↑ 12 · 2026-11-04
- 02 Embedding the page image instead of OCR text for pdf RAG, does it pay off yet? ↑ 10 · 2026-11-04
- 03 What if the usual RAG stack is over-engineering? Let's KISS ↑ 3 · 2026-11-04
- 04 Making the judgment layer local, and what it costs when you only have 8GB ↑ 3 · 2026-11-04
- 05 You may not need an LLM call to classify why your retrieved sources conflict in RAG: 11 cheaper models tested. ↑ 2 · 2026-11-04
// RELATED_COMMUNITIES
[ 12 communities · ai & machine learning ]
r/CharacterAI_No_Filter
› 92,808 members · 498 posts indexed
r/soraai
› 92,328 members · 742 posts indexed
r/reinforcementlearning
› 92,326 members · 630 posts indexed
r/waifudiffusion
› 88,197 members · 591 posts indexed
r/aiartwork
› 87,601 members · 553 posts indexed
r/replika
› 85,601 members · 479 posts indexed
r/artificialsentience
› 77,223 members · 1,287 posts indexed
r/defendingaiart
› 76,610 members · 3,919 posts indexed
r/qwen_ai
› 67,614 members · 1,674 posts indexed
r/LanguageTechnology
› 66,937 members · 359 posts indexed
r/aidangers
› 65,525 members · 782 posts indexed
r/ki_welt
› 64,406 members · 573 posts indexed
// FAQ [ 3 entries ]
01 › What is r/rag about? [ expand ↓ ] [ collapse ↑ ]
r/rag is a Reddit community with 81,380 members. 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!
02 › How active is r/rag? [ expand ↓ ] [ collapse ↑ ]
r/rag has 81,380 subscribers and 1,676 posts in our index. It was created on 2021-08-17, 5 years ago.
03 › Which subreddits are similar to r/rag? [ expand ↓ ] [ collapse ↑ ]
Other AI & Machine Learning communities of a similar size include r/CharacterAI_No_Filter (92,808 members), r/soraai (92,328 members), r/reinforcementlearning (92,326 members), r/waifudiffusion (88,197 members). Each is listed with its own subscriber and post counts in the related communities section above.