01 — AI engineering
AI agents & RAG systems
Most AI projects fail at the boring parts: chunking, evaluation, cost, and what happens when the model is wrong. I build retrieval-augmented systems grounded in your data, that log every answer and degrade safely when confidence is low.
- Document ingestion and chunking with embeddings and vector search
- Agentic workflows that call your existing APIs and write back to your database
- Provider choice — Anthropic, OpenAI, Gemini, or Ollama locally when data cannot leave
- An evaluation harness, so you can see accuracy change when a prompt changes
Get a quote for AI agents & RAG systems
Tell me what you need in two lines. I reply within one working day — usually the same day.