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TXTAI

Semantic search and RAG framework for multimodal data

Apache-2.0

ABOUT

Teams building retrieval-backed AI applications often have to stitch together embeddings, vector search, pipelines, and orchestration from separate libraries before they can answer questions over their own data reliably. txtai combines semantic search, embeddings storage, workflow primitives, and LLM-friendly retrieval capabilities in one framework.

INSTALL
pip install txtai

INTEGRATION GUIDE

1. Build retrieval-augmented generation and chat systems over internal knowledge bases 2. Run semantic and similarity search across text, images, audio, and video collections 3. Create knowledge sources for question answering, recommendation, and research workflows 4. Connect embeddings, pipelines, and agent components in a single Python application

TAGS

ragsemantic-searchembeddingsretrievalmultimodalpythonopen-source