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r/Rag is a subreddit with 12k members. Its distinguishing qualities are that the community is large 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
Advice Requests
: "What's the easiest/most efficient way to set up a high quality UI/front-end for RAG?"
32 posts
#2
Solution Requests
: "RAG APIs you use or recommend?"
28 posts
#3
Pain & Anger
: "Trying to build a RAG chat bot, turned into my worse nightmare"
4 posts
#4
Self-Promotion
: "I made my backend pipeline available for everyone."
3 posts
#5
Ideas
: "Random idea to help RAG chatbots developers"
1 post
Popular Topics in r/Rag
#1
Rag
: "The Rag_Techniques repo hit 10,000 stars on GitHub and is the world's leading open source tutorials for Rag"
117 posts
#2
: "Tool to convert Pdf, Word, Excel, Powerpoint documents to Markdown for RAG/AI/LLM system."
15 posts
#3
Chatbot
: "How can I build a RAG Chatbot in Python that extracts data from PDFs and responds with text, tables, images, or flowcharts?"
14 posts
#4
Ai
: "Tool to convert PDF, Word, Excel, Powerpoint documents to Markdown for RAG/Ai/LLM system."
14 posts
#5
Pipeline
: "Building a high-performance multi-user chatbot interface with a customizable RAG Pipeline "
7 posts
#6
Query
: "How to use LLMs to Query a corpus of articles?"
6 posts
#7
Graph
: "Manual Knowledge Graph Creation"
5 posts
#8
Model
: "Are you using MCP (Model Context Protocol)?"
5 posts
#9
Evaluation
: "AI assistant Evaluation tools/frameworks?"
4 posts
#10
Context
: "DocumentContextExtractor for llama_index: a more practical, scalable implementation of Anthropics "Contextual Retrieval" blog post."
4 posts
Member Growth in r/Rag
Daily
+98 members(0.8%)
Monthly
+2k members(23.8%)
Yearly
+8k members(246.9%)
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