Centralized Knowledge Base & AI Tooling
A modular system that centralizes knowledge, makes it semantically searchable, and connects it to any language model through an MCP server.
Systematic Documentation & RAG
This module forms the system's digital memory. At its core is a centrally hosted Chroma DB acting as a high-performance vector store. An automated pipeline deep-analyzes documents via OCR, indexes them through a specialized micro-LLM, and enriches them with intelligent tags. The result is a fully searchable knowledge base that goes far beyond simple file hosting.
AI Tooling & MCP Server
Neural Query is the interface between user and data. Designed as a fully functional MCP server, the tool enables querying complex information via a precise similarity score. The system is built LLM-agnostic and delivers context-relevant answers from the DB to any language model. Especially powerful: the active connection to Jira tickets and Confluence pages, so new project data flows into the knowledge graph in real time.
Data Validation & Analysis
Data Synthesis transforms unstructured raw data into valid information. By using micro-LLMs for pre-indexing, data streams are processed efficiently and optimized for semantic search. This process ensures the information in the vector DB stays consistent, validated, and instantly ready for complex analysis tasks.
Erik Imberi
Riedlingerstraße 69