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engineering · 1 min read

Postgres as Your Vector Database: When and Why

pgvector inside the Postgres you already operate covers more workloads than its critics admit. Here is when it is right.

BABhogar AI TeamProduct & Engineering

pgvector inside the Postgres you already operate covers 90% of RAG workloads at a fraction of the cost - with joins, transactions, backups and existing operational muscle.

Why it matters

The cases where you outgrow pgvector are real but narrow: massive single-corpus QPS, complex multi-tenant filtering at huge scale, ultra-low-latency edge.

How Bhogar AI approaches it

Bhogar AI defaults to pgvector for new KBs and lets you migrate to Pinecone, Weaviate or Qdrant when telemetry says you should - not before.

  • pgvector default with HNSW
  • Joins, transactions and backups for free
  • Migration paths to managed vector DBs
  • Per-KB cost telemetry
  • When-to-migrate criteria documented

What you get

Customers save substantial vector-DB spend without giving up retrieval quality or operational simplicity.

See Bhogar on your own data

Book a 45-minute working session. We connect one of your sources, build one agent, run one governed workflow, and review the trace together.