txtai is an all-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
txtai is an all-in-one AI framework for semantic search, LLM orchestration and language model workflows. The key component of txtai is an embeddings database, which is a union of vector indexes (sparse and dense), graph networks and relational databases. This foundation enables vector search and/or serves as a powerful knowledge source for large language model (LLM) applications. Build autonomous agents, retrieval augmented generation (RAG) processes, multi-model workflows and more. We're also building an easy and secure way to run hosted txtai applications with txtai.cloud.
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Key features include: 🔎 Vector search with SQL, object storage, topic modeling, graph analysis and multimodal indexing, 📄 Create embeddings for text, documents, audio, images and video, 💡 Pipelines powered by language models that run LLM prompts, question-answering, labeling, transcription, translation, summarization and more, ↪️️ Workflows to join pipelines together and aggregate business logic. txtai processes can be simple microservices or multi-model workflows., 🤖 Agents that intelligently connect embeddings, pipelines, workflows and other agents together to autonomously solve complex problems, 🔋 Batteries included with defaults to get up and running fast, ☁️ Run local or scale out with container orchestration.
txtai has a public GitHub repository with 12,355 stars.
