neuml / rag
🚀 Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with your own data.
Why this job: says: rag, retrieval augmented; topics: rag, retrieval-augmented-generation
What it does
This project is a Retrieval Augmented Generation (RAG) Streamlit application backed by txtai.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 466
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.14.0
- Released 5 months ago
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 94% closed
- 2 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- 14
- 3 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| Andrew-Jang / RAGHub | 2,020 | 3 months ago | MIT | No downloads |
| jonfairbanks / local-rag | 765 | 20 days ago | GPL-3.0 | No downloads |
| NovaSearch-Team / RAG-Retrieval | 1,137 | 2 months ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 98%
- Dockerfile 2%
Topics
- ai
- artificial-intelligence
- large-language-models
- llm
- machine-learning
- nlp
- python
- rag
- retrieval-augmented-generation
- search
- txtai
Project record
- JobRAG and search
- StatusListed
- Commits36
- Forks41
- Watching6
- Stars in 28 days+1
- CreatedJul 25, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026