vectorize-me is an open-source CLI tool that ingests documents into a retrieval-augmented generation (RAG) knowledge base using the Model Context Protocol (MCP). It streamlines document vectorization for AI developers and data engineers.
In the RAG, search & retrieval space, vectorize-me takes a focused approach. It focuses on automating document ingestion and vectorization for retrieval-augmented generation knowledge bases. It is built as an open-source project for AI developers and data engineers. vectorize-me is open source under the Apache-2.0 license. The product ships for the web and the command line.
vectorize-me first shipped in 2026. PulseGate's similarity index finds few close equivalents — vectorize-me occupies a relatively distinct niche. Key capabilities include document ingestion, RAG knowledge base, and CLI interface. It exposes integrations via an MCP server.
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