Embeddings in Production: Retrieval That Stays Fresh
Keeping vector indexes consistent and low-latency as embeddings and documents change constantly.
San Francisco
Jul 21, 2025 · 2:30 PM

Speaker
Machine Learning Engineer · Forge Data
Lucia builds embedding and retrieval systems at Forge Data, bringing semantic search and recommendations to production with tight latency budgets.
Keeping vector indexes consistent and low-latency as embeddings and documents change constantly.
San Francisco
Jul 21, 2025 · 2:30 PM
Hard-won lessons building approximate nearest-neighbor systems for recommendations at scale.
Atlanta
Jul 11, 2022 · 10:30 AM