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neo4j-labs/llm-graph-builder

A powerful application that transforms diverse unstructured data sources into structured Neo4j Knowledge Graphs using Large Language Models (LLMs) and LangChain.

Core Features

Unstructured Data to Knowledge Graph Transformation

Flexible Schema Support for Graph Generation

Interactive Chat with Graph Data

Support for Multiple LLM Providers and Embedding Models

LLM Token Usage Tracking and Management

Quick Start

docker-compose up

Detailed Introduction

This project provides a robust solution for converting various unstructured data formats, such as PDFs, web pages, and videos, into structured knowledge graphs within a Neo4j database. Leveraging advanced Large Language Models (LLMs) and the LangChain framework, it extracts entities, relationships, and properties, enabling powerful data visualization, conversational querying, and schema-driven graph construction. It aims to democratize knowledge extraction and make complex data more accessible and actionable.