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r/Rag is a subreddit with 24k 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
: "Advanced Chunking/Retrieving Strategies for Legal Documents"
17 posts
#2
Advice Requests
: "My document retrieval system outperforms traditional RAG by 70% in benchmarks - would love feedback from the community"
5 posts
#3
Self-Promotion
: "I got tired of setting up APIs just to test RAG pipelines, so I built this"
3 posts
#4
Pain & Anger
: "RAG Pain points"
2 posts
Popular Topics in r/Rag
#1
Rag
: "My document retrieval system outperforms traditional Rag by 70% in benchmarks - would love feedback from the community"
147 posts
#2
Ai
: "Building Document search for RAG, for 2000+ documents. These documents are technical in nature, contAins tables , need suggestion!"
24 posts
#3
: "Best Pdf parser for academic papers"
24 posts
#4
Llm
: "Are Llms a total replacement for traditional OCR models?"
16 posts
#5
Data
: "I built an open-source deep research for your private Data"
14 posts
#6
Search
: "Building Document Search for RAG, for 2000+ documents. These documents are technical in nature, contains tables , need suggestion!"
13 posts
#7
Chatbot
: "DeepSeek's: Boost Your RAG Chatbot: Hybrid Retrieval (BM25 + FAISS) + Neural Reranking + HyDe"
12 posts
#8
Embedding
: "Embedding models"
6 posts
#9
Open Source
: "🚀Forget OCR, LAYRA Understands Documents the "Visual" Way | The Latest Visual RAG Project LAYRA is Open Source!"
6 posts
#10
Document
: "Document Parsing - What I've Learned So Far"
6 posts
Member Growth in r/Rag
Yearly
+20k members(597.1%)
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