Submit projectSubmit

txtai

neuml / txtai

An all-in-one open-source framework for semantic search, LLM orchestration and language model workflows, built around an embeddings database.

Search & Retrieval

Save privately. Follow for reviewed updates in your SOTA inbox. Neither changes the ranking.

Your workspace

About txtai

Building search and RAG usually means combining several separate libraries.

Who it’s for

  • Python developers building semantic search
  • Teams that want a self-contained RAG framework

When to consider it

Consider txtai when you want embeddings, search and LLM pipelines in one Python library.

Tradeoffs & limitations

  • Apache-2.0 licensed; it runs locally or on your own servers.

SOTA overview · Documentation-based assessment · Sources & review method

Updates

No updates shared yet.

Discussion

Newest first

Ask a question or share how you use txtai.

Keep it helpful. Community rules

Loading discussion…

Sources & review method

Documentation-based assessment · Oct 3, 2026 · Prepared with AI assistance; not a hands-on benchmark.

Checked by SOTA · AI-assisted documentation review. Selection advice is our assessment; verify current requirements for your deployment.

Editorial policy · Suggest a correction

Import history & original evidence

txtai on GitHub

Scope: Product overview · Imported Oct 3, 2026

An all-in-one open-source framework for semantic search, LLM orchestration and language model workflows, built around an embeddings database.

Based on official pages and announcements checked on 2026-10-03. No hands-on test, performance benchmark or popularity ranking is claimed.