GenAI Stack

A modern AI application stack using Gemini, Neo4j, and LangChain.

Features

• 🤖 AI-powered chatbot using Google's Gemini Pro
• 📚 RAG (Retrieval Augmented Generation) with Neo4j vector store
• 📄 PDF document processing and Q&A
• 🌐 REST API for integration
• 💻 Modern web interface

Prerequisites

• Docker and Docker Compose
• Google Cloud API key with Gemini API enabled
• Neo4j database (included in Docker setup)

Setup

1. Clone the repository:

git clone <your-repo-url>
cd genai-stack

2. Create a .env file with your configuration:

LLM=gemini-pro
EMBEDDING_MODEL=google-genai-embedding-001
GOOGLE_API_KEY=your-google-api-key-here

3. Start the stack:

docker-compose up

Services

• Frontend: http://localhost:8505
• Bot UI: http://localhost:8501
• PDF Bot: http://localhost:8503
• API: http://localhost:8504
• Neo4j Browser: http://localhost:7474

Development

The project uses Docker Compose for development with hot-reloading enabled. Each service can be developed independently:

• front-end/: React-based web interface
• bot.py: Main chatbot interface
• pdf_bot.py: PDF processing and Q&A
• api.py: REST API endpoints
• loader.py: Data loading utilities

License

Private - All rights reserved