Open SourceRAG11k
txtai
All-in-one embeddings database for semantic search and LLM workflows.
txtai is an open-source, all-in-one embeddings database and AI framework for semantic search, LLM orchestration, and language-model workflows. It bundles vector indexing, optional graph and relational components, and a pipeline/workflow system for tasks like RAG, summarization, transcription, and translation. It is notable for packaging retrieval plus workflow tooling into a single Python library.
Repository
neuml/txtaiLanguage
PythonWhat you'd build with it
- Building semantic search and RAG over documents with a single embeddings index and minimal setup
- Chaining models into pipelines and workflows (extraction, summarization, translation) without separate orchestration code
- Prototyping LLM applications that combine vector, graph, and SQL-style retrieval
Tags
embeddingssemantic-searchoffline