LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

Query robotics, drone, and IoT data in plain English through an MCP server, with an intelligent edge data reduction pipeline that keeps only the data that matters.

Model Context Protocol (MCP) Server for the Keboola Platform

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

Workflow for AI Agents enables automated conversion of CAD files (such as `.rvt`, `.ifc`, `.dwg`) using command-line converters on a local Windows machine