neo4j-labs/llm-graph-builder

Health v2 · maintenance only

Adoption not part of the score

5197 stars · 878 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A web application that transforms unstructured data (PDFs, DOCs, TXTs, YouTube videos, web pages) into a knowledge graph stored in Neo4j using LLMs and LangChain. It includes a FastAPI backend and React frontend with graph visualization and a chat-with-data interface.

Use cases

• build a knowledge graph from pdfs
• extract entities and relationships from documents into neo4j
• chat with my documents using a graph rag pipeline
• convert youtube videos and web pages into a structured graph
• visualize llm-extracted graphs in neo4j bloom
• ingest files from s3 or gcs into a knowledge graph

When to choose

• you want LLM-powered graph construction into Neo4j from mixed unstructured sources
• you need a ready-made GraphRAG app with chat and visualization
• you want support for multiple LLM providers including OpenAI, Gemini, Anthropic, and Ollama

When to avoid

• you don't use Neo4j or don't want a graph database
• you need a lightweight library to embed in your own pipeline rather than a full application
• you can't run Neo4j 5.23+ with APOC

Facets

application · maturity active

rag llm-inference etl search-engine chatbot data-visualization large-language-models databases artificial-intelligence python self-hosted cross-platform knowledge-graph neo4j graphrag langchain unstructured-data fastapi react graph-construction retrieval-augmented-generation natural-language-processing data-engineering web-server docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="neo4j-labs/llm-graph-builder")