r/Rag is a subreddit with 75k members. The most common kinds of discussions are solution requests and advice requests, and the community frequently discusses rag, chatbot, pdf, ai, and pipeline, and they frequently recommend/review database, front end, and llm.
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!
Popular Themes in r/Rag
#1
Solution Requests
: "RAG projects recommendations"
12 posts
#2
Advice Requests
: "Learnings from past on how we built our customer support bot, and how I would do it now"
7 posts
#3
Pain & Anger
: "After Two Years as a Tech PO Building RAG Systems, I No Longer Believe RAG Is the Right Foundation for Customer Support"
2 posts
#4
Ideas
: "NEED SOME PROJECT IDEAS ON RAG FOR MY 4TH YEAR PROJECT"
1 post
Popular Topics in r/Rag
#1
Rag
14 posts
#2
Chatbot
3 posts
#3
3 posts
#4
Ai
2 posts
#5
Pipeline
2 posts
#6
Tutorial
1 post
#7
System
1 post
#8
Conversion
1 post
#9
Dataset
1 post
#10
Search
1 post
Products Discussed in r/Rag
Flair Used in r/Rag
#1
Discussion
: "After Two Years as a Tech PO Building RAG Systems, I No Longer Believe RAG Is the Right Foundation for Customer Support"
129 posts
#2
Showcase
: "15 Months Building a RAG System in Retirement: Lessons Learned and What Actually Worked"
40 posts
#3
Tools & Resources
: "What's your PDF/PPT/.docx ingestion process look like in July 2026?"
23 posts
#4
Tutorial
: "How I run RAG evals at my 5-person startup"
8 posts
Member Growth in r/Rag
Yearly
+39k members(110.4%)
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Last updated: August 4, 2026