Ada's agent retrieval on Cohere Embed: 77ms median latency, 4x smaller vector storage
aidangomez · x · 2026-10-28
Customer-service AI company Ada shared measured results after adopting Cohere Embed on Cohere's Model Vault:
- 77 ms median retrieval latency, enabling faster and more accurate AI voice interactions
- 2.7x greater throughput-per-dollar for offline embedding
- 4x smaller vector storage footprint with no measurable retrieval degradation
- 90.7% top-10 recall
A concrete enterprise case study on scaling production agent retrieval, useful as a reference architecture for RAG performance and cost tuning.
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