Vectorize

what is Vectorize? Vectorize is a Model Context Protocol (MCP) server designed for advanced vector retrieval, private deep research, and converting various file formats into Markdown. how to use Vectorize? To use Vectorize, set up your environment with your organization ID and API key, then run the MCP server using npx. You can perform document retrieval, text extraction, and deep research through its API. key features of Vectorize? Advanced vector search capabilities for document retrieval Text extraction and chunking into Markdown format Private deep research generation from specified pipelines use cases of Vectorize? Retrieving relevant documents based on specific queries. Extracting text from various file types and converting them into Markdown. Conducting in-depth research on topics using private pipelines. FAQ from Vectorize? What types of documents can Vectorize process? Vectorize can process various document types, including PDFs and other text formats. Is there a limit to the number of documents I can retrieve? The limit depends on the configuration of your pipeline and the parameters set during the retrieval process. How secure is the data processed by Vectorize? Vectorize ensures that all data processed is handled securely, especially during private deep research.

As an MCP (Model Context Protocol) server, Vectorize enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use Vectorize, set up your environment with your organization ID and API key, then run the MCP server using npx. You can perform document retrieval, text extraction, and deep research through its API. key features of Vectorize? Advanced vector search capabilities for document retrieval Text extraction and chunking into Markdown format Private deep research generation from specified pipelines use cases of Vectorize? Retrieving relevant documents based on specific queries. Extracting text from various file types and converting them into Markdown. Conducting in-depth research on topics using private pipelines. FAQ from Vectorize? What types of documents can Vectorize process? Vectorize can process various document types, including PDFs and other text formats. Is there a limit to the number of documents I can retrieve? The limit depends on the configuration of your pipeline and the parameters set during the retrieval process. How secure is the data processed by Vectorize? Vectorize ensures that all data processed is handled securely, especially during private deep research.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.