Attendees learned production-ready patterns for deploying and maintaining vector search. Topics include embedding model selection and evaluation, schema design patterns for long-term maintainability, measuring search quality with precision, diagnosing vector search failure modes, solving the post-filtering problem with candidate pool sizing, and numerous reranking strategies and document chunking approaches.

• Type Learning
• Level Advanced
• Time Hours
• Cost Paid