FalkorDB / GraphRAG-SDK
Build fast and accurate GenAI apps with GraphRAG SDK at scale 🌟
Why this job: topics: rag, knowledge-graph, graphrag
What it does
Most GraphRAG systems work in demos and break under production constraints. GraphRAG SDK was built from real deployments around a simple idea: the retrieval harness matters more than the model. The result is a modular, benchmark-leading framework with predictable cost and sensible defaults that gets you from raw documents to cited answers in under 5 minutes.
Get started
pip install graphrag-sdk[litellm]
docker run -d -p 6379:6379 -p 3000:3000 --name falkordb falkordb/falkordb:v4.22.2
export OPENAI_API_KEY="sk-..." - Maintenance
- Active
- Last commit 7 days ago
- Stars
- 1,034
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.6.0
- Released 7 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 3
- Last 90 days
- Issues
- 62% closed
- 41 still open
- Pull requests
- 193 merged
- 25 waiting
- Releases
- 33
- 11 in the last year
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More: languages, topics and project record
Languages
- Python 100%
- Jupyter Notebook <1%
- JavaScript <1%
Topics
- falkordb
- graphrag
- knowledge-graph
- rag
- graph-database
- open-source
- sdk
- genai
- llm
Project record
- JobRAG and search
- StatusListed
- Commits945
- Forks147
- Watching4
- Stars in 28 days+20
- CreatedJan 25, 2024
- First seen by usNov 7, 2026
- CheckedNov 9, 2026