robot_lab-document_store is an open-source embedding-based semantic document store designed for RobotLab agents. It enables developers to store documents and retrieve relevant content using semantic similarity in self-hosted agent applications.
In the RAG, search & retrieval space, robot_lab-document_store takes a focused approach. It focuses on storing and retrieving relevant documents semantically for RobotLab agents. It is built as an open-source project for developers building RobotLab agents. The project is open source (Open Source). robot_lab-document_store is available on the web and the command line, and it can be self-hosted.
It is developed by MadBomber. Key capabilities include document storage, semantic search, and embedding retrieval.
Summary written by a language model from the project’s public pages.
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