This project uses Neo4j to store a knowledge graph, LangChain and Ollama for RAG, and hybrid vector search to analyze real sales data, enabling advanced, context-aware analytics and insights from structured business information.
- Create a Knowledge Graph using neo4j and noe4j desktop allows to run a local database.
- Connect your Neo4j by using username, password, url just change it in .env to access it easily.
pip install requirements.txt
Clone this project and create your own Knolwedge graph retrieval.