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neuml/txtai

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

Core Features

Vector search with multimodal indexing (text, audio, images, video).

Language model pipelines for tasks like Q&A, summarization, and translation.

LLM orchestration via workflows and autonomous agents.

Web and Model Context Protocol (MCP) APIs with multi-language bindings.

Quick Start

pip install txtai

Detailed Introduction

txtai is an all-in-one AI framework centered around an embeddings database, which combines vector indexes, graph networks, and relational databases. This foundation enables powerful semantic search and serves as a knowledge source for large language model (LLM) applications. It allows users to build autonomous agents, retrieval augmented generation (RAG) processes, and multi-model workflows, offering a comprehensive solution for various AI-driven tasks from local development to scaled-out container orchestration.