Our Projects

  • enterprise ai
  • Machine Learning and AI
  • Our Projects

Qdrant in Ypipe: Local Semantic Memory for AI Agents, What We Found Testing It

Most search works by matching text. Type a word, get results containing that word. That breaks the moment you phrase… Read More

2 hours ago
  • enterprise ai
  • Machine Learning and AI
  • Our Projects
  • Sovereign AI

Why an 800M Model Can’t Send an Email: The Context Confusion Problem

Every model in this series reached some kind of resolution. A 9B model called the tool correctly and finished. A… Read More

2 weeks ago
  • enterprise ai
  • Machine Learning and AI
  • Our Projects

Why a 9B Local Model Sends Email Perfectly on the First Try

Every model card claims strong function calling. Almost none of them show what "strong" actually means when a real MCP… Read More

2 weeks ago
  • enterprise ai
  • Machine Learning and AI
  • Our Projects

Gmail MCP Server on Ypipe: How Local AI Sends Real Email Without the Cloud

Every "AI sends your email" product on the market today runs through someone else's cloud. You authorize an OAuth app,… Read More

2 weeks ago
  • enterprise ai
  • Machine Learning and AI
  • Our Projects

Web Browser MCP Server in Ypipe: Engineering Agentic Web Interaction

The modern web is built for human interaction: dynamic content, JavaScript-rendered interfaces, and interactive elements meant to be navigated by… Read More

3 weeks ago
  • enterprise ai
  • Machine Learning and AI
  • Our Projects

PostgreSQL MCP Server in Ypipe: Engineering Secure Transactional AI Memory

Enterprise AI projects tend to over-index on raw analytical speed or unstructured vector search. But the actual operations of a… Read More

4 weeks ago
  • Machine Learning and AI
  • Our Projects

The Hidden Data Leakage Risk of MCP Servers

What Happens When Your Database Talks to a Cloud LLM? Most conversations about the Model Context Protocol (MCP) focus on… Read More

4 weeks ago
  • enterprise ai
  • Machine Learning and AI
  • Our Projects

MariaDB MCP Server in Ypipe: Engineering Reliable Relational AI

1. Introduction In the architecture of modern enterprise systems, the relational database remains the bedrock of truth. Whether managing user… Read More

1 month ago
  • enterprise ai
  • Machine Learning and AI
  • Our Projects

LibreOffice MCP Server in Ypipe: Engineering Autonomous Document Automation

1. Introduction In the enterprise, text generation is only half the battle. Large Language Models (LLMs) are exceptionally good at… Read More

1 month ago
  • enterprise ai
  • Machine Learning and AI
  • Our Projects

chDB (Embedded ClickHouse) MCP Server in Ypipe: Serverless OLAP for AI Agents

1. Introduction When we discuss equipping Large Language Models (LLMs) with data querying capabilities, the conversation invariably defaults to network-attached… Read More

1 month ago