swirlai / swirl-search
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
Why this job: says: rag; topics: rag, retrieval-augmented-generation
What it does
Ask a question. SWIRL searches your apps live, ranks the results, and returns an answer with sources you can click through to. Data stays where it lives. No vector database, no ETL, no second copy to govern. Open source, Apache 2.0, running on your machine in about two minutes.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 3,049
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v4.5.0.7
- Released 4 months ago
- Built with
- Python
- 94% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 97% closed
- 3 still open
- Pull requests
- 1,687 merged
- 2 waiting
- Releases
- 54
- 9 in the last year
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More: languages, topics and project record
Languages
- Python 94%
- HTML 4%
- Shell 1%
- CSS 1%
Topics
- ai-search
- bigquery
- django
- federated-query
- federated-search
- gpt
- large-language-models
- metasearch
- python
- rag
- relevancy
- retrieval-augmented-generation
Project record
- JobRAG and search
- StatusListed
- Commits4,958
- Forks292
- Watching28
- Stars in 28 days+7
- CreatedApr 8, 2022
- First seen by usNov 7, 2026
- CheckedNov 7, 2026