r/Rag is a subreddit with 80k members. The most common kinds of discussions are advice requests and solution 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
Advice Requests
: "How are you handling document storage in larger RAG pipelines?"
15 posts
#2
Solution Requests
: "Best open source OCR models to replace Textract (tested a bunch)"
5 posts
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
: "How we built an OCR pipeline that survives a 50,000-page workload"
58 posts
#2
Showcase
: "CORTEX RAG just crossed 2,000 GitHub stars — so we figured we'd finally introduce ourselves"
21 posts
#3
Tools & Resources
: "Drag a PDF in , get RAG-ready Markdown out: free , local ,and the tables actually survive"
18 posts
#4
Tutorial
: "GraphRAG - which problems does it actually solve?"
9 posts
Member Growth in r/Rag
Yearly
+33k members(72.1%)
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Last updated: October 1, 2026