FengZhenfei / carrel
Ontology-Augmented Generation for AI agents.
Why this job: topics: rag, retrieval-augmented-generation, knowledge-graph, document-parsing
What it does
- Document parsing. PDF, Word, PowerPoint, spreadsheets, images, HTML,
- Automatic updates. scan for file changes, update indexes, and maintain
- Hybrid retrieval. combine vector, keyword, graph, and visual search,
- Knowledge graphs. extract entity types, relationships, and facts from
- Agent access. search through an API, fetch surrounding text or original
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 803
- +101 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.4.2
- Released yesterday
- Built with
- Python
- 93% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- 9
- 9 in the last year
- No contributing guide
- No security policy
- No code of conduct
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|---|---|---|---|---|
| HKUDS / LightRAG | 40,617 | today | MIT | No downloads |
| scub-france / docling-Studio | 271 | 6 days ago | MIT | No downloads |
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More: languages, topics and project record
Languages
- Python 93%
- JavaScript 5%
- HTML 1%
- Shell 1%
Topics
- agent-skills
- document-parsing
- knowledge-graph
- mineru
- neo4j
- ontology
- opensearch
- qdrant
- rag
- retrieval-augmented-generation
- ai-agents
- dgx-spark
Project record
- JobRAG and search
- StatusListed
- Commits85
- Forks18
- Watching4
- Stars in 28 days+758
- CreatedSep 28, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026