Skip to content

Latest commit

 

History

History
18 lines (11 loc) · 875 Bytes

README.md

File metadata and controls

18 lines (11 loc) · 875 Bytes
Raw

Advanced RAG Streamlit Chatbot - README

This AI chatbot integrates a Spacy-LLM constructed knowledge graph with an advanced RAG (Retrieval Augmented Generation), offering context-aware interactions. Built using Streamlit, it features an intuitive UI and a neo4j-like graph interface for exploring entity relationships. This chatbot is fed with data related to the OpenAI Saga.

Highlights

  1. Advanced RAG System: Utilizes OpenAI's language models for relevant, informed responses.

  2. Knowledge Graph Integration: Leverages Neo4j's comprehensive network of entity relationships for deeper insights.

  3. Streamlit Interface: Offers a user-friendly, easy-to-navigate experience.

Note: retrievers.py and chain.py are from langchain's neo4j_advanced_rag template:

https://github.com/langchain-ai/langchain/tree/master/templates/neo4j-advanced-rag?ref=blog.langchain.dev