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r/Rag
10k members
r/Rag is a subreddit with 10k members. Its distinguishing qualities are that the community is medium in size.
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
: "Microsoft official library to convert from office to markdown"
51 posts
#2
Advice Requests
: "Suggestions to improve RAG with 200+ pdfs"
44 posts
#3
Pain & Anger
: "Why isn’t AWS Bedrock a bigger topic in this subreddit?"
6 posts
#4
Self-Promotion
: "A Personal NotebookLM and Perplexity-like AI Assistant with privacy."
5 posts
#5
Money Talk
: "What is a range of costs for a RAG project?"
2 posts
Popular Topics in r/Rag
#1
Rag
: "How people prepare data for Rag applications"
85 posts
#2
Ai
: "RAG-powered search engine for Ai tools (Free)"
19 posts
#3
: "Suggestions to improve RAG with 200+ Pdfs"
16 posts
#4
Llm
: "I spent a weekend on arxiv reviewing the literature on Llm hallucinations - here's what I learned"
11 posts
#5
Embedding
: "A complete overview of Embeddings for RAG"
8 posts
#6
Chunking
: "Extensive New Research into Semantic Rag Chunking"
7 posts
#7
Knowledge
: "What Knowledge management system do you use for RAG applications?"
6 posts
#8
Document Parsing
: "I am making a feature that compares Document Parsing result."
6 posts
#9
Chatbot
: "I made rag Chatbot for multiple types of docs "
6 posts
#10
Data
: "How people prepare Data for RAG applications"
5 posts
Member Growth in r/Rag
Daily
+24 members(0.3%)
Monthly
+1k members(14.6%)
Yearly
+6k members(179.4%)
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