/r/Rag/

r/Rag

81k members
r/Rag is a subreddit with 81k members. The most common kinds of discussions are advice requests and pain & anger, and the community frequently discusses rag, pdf, chatbot, 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
: "Honest reviews of Context graphs and Gemini Knowledge Catalog please"
4 posts
#2
Pain & Anger
: "The annoying part of RAG for me wasn't retrieval - it was getting documents into a sane format"
3 posts
#3
Solution Requests
: "Looking for a dataset that resembles a small business’s documents, for a local RAG project"
2 posts
#4
Ideas
: "Looking for ideas for genuinely useful AI engineering projects"
2 posts
#5
Opportunities
: "Building an Enterprise Document RAG System: What Matters Beyond the Chatbot"
1 post
#6
Self-Promotion
: "Got tired of slow PDF parsers losing layout coordinates, , so I built a tool"
1 post

Popular Topics in r/Rag

#1

Rag

15 posts
#2

Pdf

4 posts
#3

Chatbot

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

Database

15 reviews
#1
PostgreSQL
4.7★ from 3 reviews
#2
Qdrant
4.7★ from 3 reviews
#3
pgvector
4.0★ from 2 reviews

Front End

3 reviews
#1
Verba Weaviate
4.0★ from 1 review
#2
Chainlit
5.0★ from 1 review
#3
Open Web UI
4.0★ from 1 review

Llm

2 reviews
#1
Mistral
4.0★ from 1 review
#2
Qwen
4.0★ from 1 review

Flair Used in r/Rag

#1
Discussion
: "How do you build a RAG system that won’t embarrass you in front of the Board?"
63 posts
#2
Tools & Resources
: "I built a tool to convert complex documents into RAG-ready content — $0.007/page"
13 posts
#3
Showcase
: "I benchmarked 11 PDF-to-Markdown tools (incl. Docling and MarkItDown) on tables, headings, 2-column order and OCR"
7 posts
#4
Tutorial
: "RAG Evaluation Framework"
7 posts

Member Growth in r/Rag

Yearly
+32k members(64.3%)

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About

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This page gives a focused view of r/Rag, including current member size, discussion patterns, product reviews, and related communities to explore.

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Last updated: October 26, 2026