neo4j-labs / llm-graph-builder
Neo4j graph construction from unstructured data using LLMs
Why this job: topics: rag, knowledge-graph, graphrag
What it does
- Seamlessly transform unstructured data into structured Knowledge Graphs using advanced LLMs.
- Extract nodes, relationships, and their properties to create structured graphs.
- Use a custom schema or existing schemas configured in the settings to generate graphs.
- View graphs for specific or multiple data sources simultaneously in Neo4j Bloom.
- Interact with your data in the Neo4j database through conversational queries.
Get started
cd frontend
yarn
yarn run devYou need: Python 3.12 or higher (for local/separate backend deployment); Neo4j Database 5.23 or later with APOC installed.
- Maintenance
- Active
- Last commit 17 days ago
- Stars
- 5,301
- +10 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.8.7
- Released 3 months ago
- Built with
- Jupyter Notebook
- 60% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 95% closed
- 37 still open
- Pull requests
- 708 merged
- 24 waiting
- Releases
- 18
- 4 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 60%
- TypeScript 25%
- Python 15%
- CSS <1%
Topics
- data-import
- genai
- graph
- graph-rag
- graph-search
- graphdb
- graphrag
- knowledge-graph
- langchain
- neo4j
- rag
- unstructured-data
Project record
- JobRAG and search
- StatusListed
- Commits1,361
- Forks884
- Watching33
- Stars in 28 days+36
- CreatedJan 11, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026