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txtai

All-in-one embeddings database for semantic search and LLM workflows.

txtai is an open-source, all-in-one embeddings database and AI framework for semantic search, LLM orchestration, and language-model workflows. It bundles vector indexing, optional graph and relational components, and a pipeline/workflow system for tasks like RAG, summarization, transcription, and translation. It is notable for packaging retrieval plus workflow tooling into a single Python library.

Repository

neuml/txtai

Language

Python

What you'd build with it

  • Building semantic search and RAG over documents with a single embeddings index and minimal setup
  • Chaining models into pipelines and workflows (extraction, summarization, translation) without separate orchestration code
  • Prototyping LLM applications that combine vector, graph, and SQL-style retrieval

Tags

embeddingssemantic-searchoffline