01 / DECISION
When this primitive earns a place
Use Vectorize when semantic similarity adds value beyond exact lookup and you can define what a good result looks like.
02 / ARCHITECTURE
Build the smallest defensible path
Choose one embedding model and dimension, create stable document IDs, version chunks and metadata, then evaluate top-k retrieval before generation.
- 01Name the contract
Use Vectorize when semantic similarity adds value beyond exact lookup and you can define what a good result looks like.
- 02Add one primitive
Choose one embedding model and dimension, create stable document IDs, version chunks and metadata, then evaluate top-k retrieval before generation.
- 03Capture failure evidence
Maintain labeled queries with expected documents, measure recall and irrelevant hits, and test deletion plus tenant filters.
03 / REPRODUCE
Evidence before confidence
Maintain labeled queries with expected documents, measure recall and irrelevant hits, and test deletion plus tenant filters.
npx wrangler vectorize list04 / BOUNDARY
The production boundary
A vector database does not guarantee factual answers. Stale indexes, weak chunks, and missing access filters can produce confident failure or data exposure.
05 / FIRST-PARTY SOURCES
Keep first-party sources authoritative
Product behavior, limits, pricing, and availability can change. Re-check these sources before acting.