r/Rag
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!
r/Rag Subreddit Stats & Analytics
r/Rag is a AI & Machine Learning subreddit in the Nerds category with 76,292 members. Use this page to track r/Rag stats, subscriber growth trends, daily and weekly analytics, and similar subreddits with related audiences.
Recent r/Rag growth: +129 members today (+0.17%) and +513 members this week (+0.68%).
Browse more AI & Machine Learning subredditsReddit topics and subreddit categories.
Similar subreddits to r/Rag include r/AutoGenAI, r/NextGenAITool, r/AISearchLab, r/nousresearch, r/LargeLanguageModels.
r/Rag Current Stats
r/Rag Growth Analytics
Daily Growth Chart (30 days)
r/Rag Subreddit Rules
Stay on Topic
Posts must be related to Retrieval-Augmented Generation (RAG) or closely related AI topics. Off-topic content may be removed.
Be Respectful
Treat all members with respect. Harassment, hate speech, or personal attacks will not be tolerated.
Limited Self-Promotion
Self-promotion is allowed following Reddit's 10/90 rule: only 10% of your contributions should be self-promotional. Ensure your self-promotional content is relevant and contributes meaningfully to the community.
Please post job requests and services in our discord jobs room : https://dub.sh/eQ4gjEe
Cite Your Sources
When sharing research, tools, or information, provide proper attribution and links to original sources.
Follow Reddit's Guidelines
Adhere to Reddit’s global rules and guidelines. Violations of these rules will result in removal of content and potential bans.
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