DerwenAI / strwythura
Strwythura: construct an entity-resolved knowledge graph from structured data sources and unstructured content sources, implementing an ontology pipeline, plus context engineering for optimizing AI application outcomes within a specific domain. This produces a Streamlit app, with MLOps instrumentation.
Why this job: says: knowledge graph; topics: vector-database, graphrag
What it does
This tutorial explains how to construct an *entity resolved knowledge graph* from structured data sources and unstructured content sources, implementing an *ontology pipeline*, plus *context engineering* for optimizing AI application outcomes within a specific domain. The process gets enriched by *entity embeddings* and *graph algorithms* used in an enhanced GraphRAG approach, which implements a question/answer chat bot about a particular domain. The material here provides hands-on experience with advanced techniques as well as working code you can use elsewhere.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 233
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.1.1
- Released 7 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 50 merged
- 0 waiting
- Releases
- 20
- 7 in the last year
- No contributing guide
- No security policy
- No code of conduct
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| Repo | Stars | Last commit | Licence | Downloads for |
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| Dongbumlee / ontosmith | 270 | today | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 100%
Topics
- textgraphs
- unstructured-data
- vector-database
- entity-linking
- entity-resolution
- machine-learning
- named-entity-recognition
- semantic-expansion
- graphrag
- ontology
- ontology-pipeline
- semantic-random-walk
Project record
- JobRAG and search
- StatusListed
- Commits248
- Forks27
- Watching7
- Stars in 28 days0
- CreatedJul 31, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026


