neuml / txtai
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Why this job: topics: rag, retrieval-augmented-generation, vector-database, embeddings, semantic-search, vector-search, semantic search
What it does
The key component of txtai is an embeddings database, which is a union of vector indexes (sparse and dense), graph networks and relational databases.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 13,184
- +122 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v9.14.0
- Released 34 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 32
- Last 90 days
- Issues
- 99% closed
- 9 still open
- Pull requests
- 221 merged
- 6 waiting
- Releases
- 68
- 14 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
- Dockerfile <1%
- Makefile <1%
Topics
- python
- search
- nlp
- semantic-search
- vector-search
- txtai
- llm
- vector-database
- language-model
- transformers
- sentence-embeddings
- large-language-models
Project record
- JobRAG and search
- StatusFeatured
- Commits2,312
- Forks981
- Watching113
- Stars in 28 days+181
- CreatedAug 9, 2020
- First seen by usNov 7, 2026
- CheckedNov 9, 2026