rag-chat and rag-arena
These are complements: RAG Chat provides the prototyping framework for building RAG applications, while RAG Arena evaluates their quality through user feedback, making them useful together in a development workflow.
About rag-chat
upstash/rag-chat
Prototype SDK for RAG development.
This tool helps developers quickly build conversational AI applications that can answer questions using specific knowledge. You feed it documents like website content or PDFs, and it lets you create a chatbot that responds based on those materials, acting as a knowledgeable expert. It's designed for software developers who need to rapidly prototype AI chat features.
About rag-arena
firecrawl/rag-arena
Open-source RAG evaluation through users' feedback
This project helps evaluate and compare how different retrieval-augmented generation (RAG) methods perform for a chatbot. You input a question, and the system provides multiple answers, each generated by a different RAG approach. You then vote on the best response, which helps benchmark the effectiveness of various data retrieval strategies. This tool is designed for AI practitioners, data scientists, or product managers who are building or optimizing RAG-powered chatbots and need to understand which retrieval techniques work best for their specific data.
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