txtai
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
txtai is an all-in-one embeddings database for semantic search, LLM orchestration and RAG, bundling vector indexing, pipelines and workflows in one package.
From the README
pip install txtai
- 🔎 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
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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txtai has 12.9k stars on GitHub. It has been forked 886 times. txtai is written mainly in Python. It has been in active development since 2020. txtai is available under the Apache-2.0 license. Its main topics are agents, ai, ai-agents, embeddings.
Read the full guideWhat is txtai?
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Is txtai open source?
txtai is an open-source project. It is released under the Apache-2.0 license.
Is txtai free?
Yes. txtai is free and open source — you can use, modify and self-host it.
What license does txtai use?
txtai is available under the Apache-2.0 license.
What language is txtai written in?
txtai is written mainly in Python.
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