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.