neuml/txtai
đź’ˇ All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Combines hybrid vector indexing (sparse and dense) with relational databases and graph networks into a unified embeddings database, enabling both semantic search and RAG-powered LLM workflows. Includes built-in pipelines for multimodal indexing (text, audio, images, video), autonomous agents, and workflow orchestration—all deployable via REST/MCP APIs with language bindings for JavaScript, Java, Rust, and Go. Built on Hugging Face Transformers and Sentence Transformers with a modular architecture that scales from micromodels to large language models without requiring external vector database services.
12,281 stars and 54,726 monthly downloads. Used by 6 other packages. Actively maintained with 21 commits in the last 30 days. Available on PyPI.
Stars
12,281
Forks
789
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Monthly downloads
54,726
Commits (30d)
21
Dependencies
9
Reverse dependents
6
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