txtai
An all-in-one AI framework for semantic search, LLM orchestration, and language model workflows built around an embeddings database.
What is txtai?
txtai is an all-in-one AI framework that provides tools for semantic search, LLM orchestration, and building language model workflows. It centers around an embeddings database that combines vector search, graph analysis, and relational storage to enable applications like retrieval-augmented generation (RAG), autonomous agents, and multimodal indexing.
Developers and data scientists building AI-powered applications such as semantic search systems, RAG pipelines, multi-model workflows, and autonomous agents who need a unified, local-first framework.
txtai offers a comprehensive, integrated solution that combines embeddings, pipelines, workflows, and agents in a single framework, allowing for rapid development and deployment without needing to stitch together multiple disparate services. Its ability to run locally and scale as needed provides flexibility and data privacy.
Overview
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Use Cases
Best For
- Building semantic search applications over text, images, or audio
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