txtai
All-in-one Python framework for embeddings, vector search, and RAG workflows.
Fit.
Catalog snapshot
- Platforms
- Linux, Macos, Windows
- Operating systems
- Linux, macOS, Windows
- Ram floor
- 2 GB
- Gpu
- Optional · 4 GB VRAM helps
- Docker
- Yes
- Setup
- Intermediate
- Deploy as
- Local, Self-hosted
- Commercial use
- Allowed
Default embeddings run on CPU; a GPU speeds up indexing noticeably.
Project.
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About.
txtai folds embeddings, vector indexes, and an LLM workflow engine into one Python framework — the whole RAG loop without separate services. Apache-2.0 and pip-installable. The batteries-included option for solo builders.
embeddings built in · SQL-style queries · LLM workflow engine · RAG templates
