# txtai

> Build semantic search and AI workflows around an embeddings database.

txtai helps users build semantic search and AI workflows around an embeddings database. The product supports semantic search and language-model orchestration. Starting points include create a document retrieval prototype and connect search results to an AI response. Check the documentation, license, supported models, hardware requirements, and any separate API or hosting costs. Test on a small representative project before integrating it into an existing system.

## Quick facts

- Categories: Search Engine
- Official site: https://github.com/neuml/txtai
- Last checked: 2026-09-26

## Key features

- Semantic search
- Language-model orchestration

## Use cases

- Create a document retrieval prototype
- Connect search results to an AI response

## Links

- Nextool.ai page: https://nextool.ai/tools/txtai/
- Alternatives: https://nextool.ai/alternatives/txtai/

Source: Nextool.ai (https://nextool.ai/tools/txtai/). Pricing and features change; confirm on the provider's site before relying on them.