txtai

Vector Databases & Memory

Open Source AI

Search & Research

All-in-one embeddings database combining vector search, semantic workflows, and LLM orchestration. Open-source framework for building AI-powered search and RAG applications. Includes built-in support for semantic search, extractive QA, and text generation.

Why Use txtai

Complete solution for semantic search in one package. No need to cobble together separate embedding models, vector databases, and LLM APIs. Great for rapid prototyping and production deployments. Lightweight and fast with minimal dependencies. Perfect for teams wanting simplicity without sacrificing capabilities.

Use Cases for Builders

Practical ways to use txtai in your workflow

Build semantic search engines for documents and media
Create RAG systems with built-in LLM orchestration
Implement extractive question answering from documents
Index and search across text, images, and audio
Deploy lightweight embeddings-powered apps

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