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neuml/txtai

⭐ 12947 Python added to this list on 2025-12-15 repository created 2020-08-09

txtai is an all-in-one AI framework designed for semantic search, large language model (LLM) orchestration, and language model workflows. It integrates a powerful embeddings database that combines vector indexes (both sparse and dense), graph networks, and relational databases, enabling advanced vector search capabilities and serving as a robust knowledge base for LLM applications. The framework supports building autonomous agents, retrieval augmented generation (RAG) processes, multi-model workflows, and more, making it versatile for various AI-driven tasks. Key features of txtai include vector search with SQL, object storage, topic modeling, graph analysis, and multimodal indexing. It can create embeddings for diverse data types such as text, documents, audio, images, and video. The framework offers pipelines powered by language models that facilitate LLM prompts, question-answering, labeling, transcription, translation, summarization, and other natural language processing tasks. Workflows allow users to connect pipelines and aggregate business logic, supporting both simple microservices and complex multi-model workflows. Additionally, txtai provides intelligent agents that link embeddings, pipelines, workflows, and other agents to autonomously solve complex problems. The framework exposes Web and Model Context Protocol (MCP) APIs with bindings available for JavaScript, Java, Rust, and Go, ensuring broad accessibility. It is designed for ease of use with batteries included for quick setup and can run locally or scale with container orchestration. Built on Python 3.10+, Hugging Face Transformers, Sentence Transformers, and FastAPI, txtai is open-source under the Apache 2.0 license. Use cases include semantic search applications that understand natural language meaning beyond keywords, enabling similarity and neural search across various data types. It also supports LLM orchestration for autonomous agents, RAG, chatbots, and complex workflows. The project provides extensive example notebooks and applications to help users get started and explore its full capabilities.

https://github.com/neuml/txtai

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