Turn any set of documents into a private chat workspace.
AnythingLLM packages the whole RAG stack — ingestion, chunking, embedding, a vector store and a chat UI — into one installable app, with workspaces that keep separate document sets isolated from each other. It ships as a desktop build as well as a container, so a non-technical user can get a private document assistant running without touching a terminal.
The framework most LLM applications are still assembled from.
Ask questions of your own documents with nothing leaving the machine.
The data framework for connecting models to your own sources.
Composable, typed pipelines for search and RAG systems.
Visual builder for agents and RAG flows, deployable as an API.
Fair-code workflow automation with AI steps built in.
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