deepsense-ai / ragbits
Building blocks for rapid development of GenAI applications
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Swap LLMs anytime. Switch between 100+ LLMs via LiteLLM or run local models.
- Type-safe LLM calls. Use Python generics to enforce strict type safety in model interactions.
- Bring your own vector store. Connect to Qdrant, PgVector, and more with built-in support.
- Developer tools included. Manage vector stores, query pipelines, and test prompts from your terminal.
- Modular installation. Install only what you need, reducing dependencies and improving performance.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 6 months ago
- Stars
- 1,679
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.6.2
- Released 7 months ago
- Built with
- Python
- 80% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 89% closed
- 42 still open
- Pull requests
- 505 merged
- 14 waiting
- Releases
- 38
- 7 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 80%
- TypeScript 20%
- JavaScript <1%
- HTML <1%
Topics
- agents
- document-search
- evaluation
- guardrails
- llms
- optimization
- prompts
- rag
- vector-stores
Project record
- JobOther AI tools
- StatusListed
- Commits519
- Forks146
- Watching9
- Stars in 28 days+4
- CreatedSep 2, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026
