txtai

txtai is an all-in-one AI framework for semantic search, LLM orchestration, and language model workflows.

txtai is an all-in-one AI framework designed for semantic search, LLM orchestration, and language model workflows. Its core component is an embeddings database that combines vector indexes, graph networks, and relational databases to support vector search and knowledge sources. The framework enables users to build autonomous agents, retrieval augmented generation processes, and multi-model workflows. It processes text, documents, audio, images, and video using pipelines powered by language models. Built with Python, Hugging Face Transformers, and FastAPI, txtai offers web and Model Context Protocol APIs with bindings for multiple programming languages.

txtai at a glance

Best for: Software engineer, Researcher
Runs on: Web, Linux, macOS, Windows, API, self-hosted, open source, CLI
Pricing: Free
Released: August 2020
Category: AI search engine
Website: github.com/neuml/txtai

Key features

Vector search with SQL, object storage, and graph analysis
Embeddings creation for text, documents, audio, images, and video
Language model pipelines for prompts, QA, and translation
Workflows to join pipelines and aggregate business logic
Autonomous agents connecting embeddings, pipelines, and workflows
Web and Model Context Protocol APIs with language bindings
Container orchestration support for scaling

Use it for

Build semantic and vector search applications
Build retrieval augmented generation processes
Run language model workflows and task chains
Create autonomous agents to solve complex problems

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