ranguy9304/LangGraphRAG
LangGraphRAG: A terminal-based Retrieval-Augmented Generation system using LangGraph. Features include message history caching, query transformation, and vector database retrieval. Ideal for NLP researchers and developers working on advanced conversational AI and information retrieval systems.
This system helps NLP researchers and developers build advanced conversational AI. It takes your questions, learns from past conversations, and pulls information from a vector database (which you can populate with web pages or PDFs). The result is a more informed and context-aware answer to your query, ideal for developing sophisticated information retrieval applications.
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Use this if you are developing or experimenting with advanced Retrieval-Augmented Generation (RAG) systems and need a robust framework for query transformation and document retrieval.
Not ideal if you are an end-user looking for a ready-to-use chatbot or knowledge base without any development work.
Stars
15
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jul 13, 2024
Commits (30d)
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