DANIEL KIRCHNERSoftware Architect · Cloud & DevOps · AI
All Services

AI Engineering

Integration of AI into existing products: multi-agent systems with LangGraph, RAG pipelines, LLM-based chatbots and MCP servers following the Model Context Protocol. From prototype to production – with LangChain, OpenAI and vector databases.

Scope of Services

AI agents and multi-agent systems with LangGraph
RAG pipelines (Retrieval-Augmented Generation) for knowledge platforms
LLM-based chatbots with contextual answers
MCP servers following the Model Context Protocol
Vector databases (pgvector, Milvus) for embedding search
LLM observability & evaluation (Langfuse, RAGAS)
Prompt engineering and AI integration into existing systems

Technologies

PythonLangGraphLangChainOpenAI / Azure OpenAIpgvectorMilvusFastAPIMCPRAGLangfuse

Related Projects

AI Audit Assistant for Certification & Compliance

AI assistant for ISO certification audits – specialized LangGraph agents, grounded in the standards via RAG, turn raw notes into structured, regulation-compliant audit findings.

PythonLangGraphFastAPIAzure OpenAIpgvectorNext.js

AI Workspace for Food Scientists

AI-first workspace where food scientists collaborate with a network of specialized AI agents to formulate recipes in real time – ingredient matching, supplier discovery and regulatory validation as dedicated agents.

PythonLangGraphLangChainFastAPIKnowledge Graphs

AI Chatbot for Knowledge Platform

AI chatbot with RAG pipeline – automatically answers user queries based on 500+ video/PDF knowledge items, including MCP server integration.

PythonLangChainOpenAIMilvusFastAPIMCP

Frequently Asked Questions

Discuss your project?

Free consultation – I'll get back to you within 24 hours.

Free Consultation