FIELD NOTES
Field notes
Short, precise notes on how we build: retrieval, agents, and the data foundation underneath.
- RETRIEVAL
Retrieval that actually works
Vector search alone misses. Good retrieval blends methods and reranks before the model reads anything.
- AGENTS
Agents with real tool use
An agent is a loop: the model plans, calls a tool, reads the result, and decides again, inside guardrails.
- PIPELINES · PLATFORM
Ingestion and the data foundation
Before AI can read your data, something has to collect, clean, and shape it. That is the foundation.
- CATALOG · LINEAGE
Data catalog and lineage
A catalog tells people what data exists. Lineage tells them where it came from and what breaks if it changes.
- DATA QUALITY
Data quality in production
Data quality is not a one-time cleanup. It is tests and monitors that run every time data moves.
- MIGRATION
Migrating off legacy systems
You move off a legacy system without a big-bang cutover, by running the new path beside the old one.