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Enhancing Generative AI Chatbot Accuracy Using Knowledge Graph

Overview | Key Features | Quick Start

Chatbot Architecture

Overview

A graph-based chatbot system that uses Neo4j and LangChain to enhance generative AI responses by leveraging structured knowledge representation.

Key Features

  • Graph-based knowledge representation using Neo4j
  • LangChain integration for natural language understanding
  • Vector similarity search for relevant document retrieval
  • Hybrid search combining structured and unstructured data
  • Real-time Q&A through web interface
  • High accuracy on domain-specific queries

Quick Start

  1. Install dependencies:
pip install langchain langchain-community langchain-openai neo4j streamlit
  1. Configure environment:
export OPENAI_API_KEY="your-key"
export NEO4J_URI="your-uri" 
export NEO4J_USERNAME="username"
export NEO4J_PASSWORD="password"
  1. Run application:
streamlit run app.py

Authors

  • Ajay Bandi
  • Jameer Babu
  • Ruida Zeng
  • Sai Ram Muthyala