VectorInstitute / fed-rag
A framework for fine-tuning retrieval-augmented generation (RAG) systems.
Why this job: says: rag; topics: rag, retrieval augmented
What it does
FedRAG is an open-source framework for fine-tuning Retrieval-Augmented Generation (RAG) systems across both centralized and federated architectures.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 150
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.0.27
- Released 17 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 73% closed
- 47 still open
- Pull requests
- 341 merged
- 8 waiting
- Releases
- 35
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 100%
- Makefile <1%
Topics
- deep-learning
- federated-learning
- llms
- machine-learning
- rag
Project record
- JobRAG and search
- StatusListed
- Commits368
- Forks29
- Watching6
- Stars in 28 days0
- CreatedJan 17, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026