AI Framework
12.4k 2026-04-14

neuml/txtai

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

Core Features

Vector search with multimodal indexing (text, audio, images, video).
Language model-powered pipelines for tasks like Q&A, summarization, and translation.
Workflows to combine pipelines and business logic into microservices or multi-model applications.
Autonomous agents that intelligently connect various AI components to solve complex problems.
Web and Model Context Protocol (MCP) APIs with bindings for multiple languages.

Quick Start

pip install txtai

Detailed Introduction

txtai is a comprehensive, all-in-one AI framework built around a powerful embeddings database that unifies vector indexes, graph networks, and relational databases. This robust foundation provides advanced vector search capabilities and acts as a critical knowledge source for large language model (LLM) applications. It empowers developers to construct sophisticated autonomous agents, implement retrieval augmented generation (RAG) processes, and design complex multi-model workflows. txtai offers a flexible and scalable solution for diverse AI-driven tasks, supporting everything from local development to large-scale container orchestration, making it ideal for building intelligent applications without relying on disparate remote services.

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