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Homepgvector

pgvector

pgvector on RDS deployment patterns: coupled, sidecar and split architectures with HNSW memory sizing
AI

pgvector on RDS: What CTOs Should Know Before Building AI Features on Their OLTP Database

pgvector on RDS is the fastest path to shipping an AI feature, and it is also one of the quickest ways to turn a healthy transactional database into a latency incident. Both statements are true [...]

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Table of Contents

×
  • What this article covers
  • Why every CTO is being asked about AI features right now
  • What you actually get when you enable pgvector on RDS
  • What a vector column physically does to an OLTP table
    • Your embedding does not fit in the row
    • Updating an embedding kills HOT and multiplies writes
    • HNSW is a graph, and graphs resent deletion
    • The graph wants to live in RAM, and it is competing with your working set
  • Sizing pgvector on RDS: arithmetic you can do in the meeting
  • When in-database vectors are the right call
  • When pgvector on RDS degrades your transactional workload
  • Three deployment patterns for pgvector on RDS
  • Keep embedding writes out of the request path
  • Instrument pgvector on RDS before you approve the rollout
  • A 60-day pgvector on RDS rollout that does not risk the OLTP workload
  • Anti-patterns we keep finding in pgvector on RDS deployments
  • Frequently asked questions about pgvector on RDS
    • Does Amazon RDS support pgvector, and which version do I get?
    • HNSW or IVFFlat for pgvector on RDS?
    • Will pgvector on RDS slow down my transactional queries?
    • Can I serve vector queries from an RDS read replica?
    • How much memory does pgvector on RDS actually need?
    • When should we move off pgvector to a dedicated vector database?
    • Is Aurora PostgreSQL better than RDS for this?
  • The short version for your next design review
  • Sources and further reading on pgvector on RDS
  • Talk to someone who has cleaned this up before
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