GH Repository · neo4j-labs
llm-graph-builder
Neo4j graph construction from unstructured data using LLMs
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dockerJupyter Notebookgenaidata-importgraphgraph-raggraph-searchgraphdblangchainragknowledge-graphagent-frameworkneo4jgraphragunstructured-datavectordb
A Neo4j Labs tool that builds knowledge graphs from unstructured data using LLMs. It is packaged with Docker support and includes Jupyter Notebook material.
You want to turn unstructured documents into a Neo4j knowledge graph for graph-based RAG and search.
Use it to
- Extract knowledge graphs from unstructured documents with LLMs
- Load extracted entities and relationships into Neo4j
- Support graph RAG and graph search pipelines
- Experiment with the included Jupyter notebooks
- Deploy the builder via Docker
For Developers building graph RAG pipelines with Neo4j
- Role
- agent-framework
- Language
- Jupyter Notebook
- Licence
- Apache-2.0
- Forks
- 878
- Open issues
- 36
- Last push
- 2026-09-08
- Latest release
- v0.1 · 2024-05-16
topicsknowledge-graphneo4jgraph-ragllmunstructured-datadata-import