redis-developer/ArXivChatGuru
Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
Fetches papers from arXiv by topic, chunks them, and generates OpenAI embeddings stored in Redis for semantic vector search—enabling retrieval-augmented generation (RAG) where LangChain passes relevant paper excerpts as context to the chat model. The app includes a stats dashboard for inspecting index metadata and query performance, with topic-scoped Redis indices allowing isolated knowledge bases per research area. Designed as an educational RAG template rather than production software, demonstrating how Redis vector search integrates into academic paper Q&A workflows.
554 stars. No commits in the last 6 months.
Stars
554
Forks
74
Language
Python
License
MIT
Category
Last pushed
Apr 15, 2025
Commits (30d)
0
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