Vector Database Selection and Architecture

Senior engineers and architects evaluating or building vector storage for production search systems — familiar with databases, evaluating options beyond the hype

What you'll learn:

• Why Vector Database Selection Matters Less Than You Think
• The Core Operations: Insert, Index, Query
• Index Types: HNSW, IVF, Flat, and When to Use Each
• Filtering: The Hidden Performance Problem
• Scaling: From Single Node to Distributed
• Persistence, Backup, and Recovery
• Embedded vs. Hosted: The Real Trade-offs
• Evaluation Framework: How to Choose
• Migration: Switching Without Downtime

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