Ingestion
Every file format, every silo, chunked with structure and metadata intact.
Before a model acts, it reads a briefing: the context. Context engineering decides what earns a place in it. Try it yourself: build the briefing below and watch the answer change.
It is an operating pipeline with four stages that we build and run.
Every file format, every silo, chunked with structure and metadata intact.
Vector DB for meaning, knowledge graph for facts: hybrid RAG.
Sync pipelines to reduce stale knowledge through change detection and staleness monitoring.
Per-task retrieval that decides which facts earn a place in the briefing.
A model can retrieve the 2021 specification, a superseded rate card, or a policy that is two revisions old. It cannot identify missing context unless the retrieval system supplies dates, authority, and exclusions. Context engineering gives each answer a traceable source and records which material was left out.
A 30-minute working session. Bring one painful workflow; we'll sketch the harness, the data pipeline and the cost curve.
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