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r/Rag is a subreddit with 32k members. Its distinguishing qualities are that the community is large in size, and has high activity.
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
: "What’s the best RAG tech stack these days? From chunking and embedding to retrieval and reranking"
19 posts
#2
Advice Requests
: "A free goldmine of tutorials for the components you need to create production-level agents"
9 posts
#3
Ideas
: "GraphRAG with Neo4j, Langchain and Gemini is amazing!"
4 posts
#4
Self-Promotion
: "I built a Cursor for PDFs"
3 posts
#5
Pain & Anger
: "RAG Pain points"
2 posts
#6
Money Talk
: "How much should I charge for building a RAG system for a law firm using an LLM hosted on a VPS?"
1 post
Popular Topics in r/Rag
#1
Rag
: "My document retrieval system outperforms traditional Rag by 70% in benchmarks - would love feedback from the community"
144 posts
#2
Ai
: "Why Ai labs moved to reasoning, deep research, and agents. There is primarily one reason."
38 posts
#3
Search
: "Author of Enterprise RAG here—happy to dive deep on hybrid Search, agents, or your weirdest edge cases. AMA!"
17 posts
#4
: "How do you clean Pdfs before chunking for RAG?"
13 posts
#5
Chatbot
: "Most RAG Chatbots don’t fail at retrieval. They fail at delivering answers users can trust."
11 posts
#6
Llm
: "Tried Neo4j with Llms for RAG -surprisingly effective combo"
10 posts
#7
Pipeline
: "How to build a Full RAG Pipeline(Beginner) using Pinecone"
10 posts
#8
Document
: "Document Parsing - What I've Learned So Far"
8 posts
#9
Data
: "I built an open-source deep research for your private Data"
6 posts
#10
Graph
: "Towards agentic Graph RAG: Enhancing Graph retrieval with vector search"
6 posts
Member Growth in r/Rag
Yearly
+28k members(827.2%)
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