engineering · 1 min read
Vector Stores Compared: pgvector, Pinecone, Weaviate, Qdrant
A clear, opinionated comparison of the four most-used vector stores in 2026 - and why Bhogar AI defaults to pgvector for most workloads.
BABhogar AI TeamProduct & Engineering
The vector-store market has matured. The right choice now depends on your scale, your existing data platform and your operational preferences - not on hype. Here is our 2026 take.
Why it matters
Most teams default to a managed vector DB and overpay for it. pgvector inside the Postgres you already operate covers 90% of workloads and gives you joins, transactions and existing backups for free.
How Bhogar AI approaches it
Bhogar AI Knowledge Bases run on pgvector by default. We support Pinecone, Weaviate and Qdrant for customers with specialised needs (massive scale, multi-tenant SaaS, advanced filtering). Switching is a config change.
- pgvector default with HNSW indexing
- Pinecone, Weaviate, Qdrant and OpenSearch supported
- Same KB API regardless of backing store
- Per-tenant isolation enforced at query time
- Cost dashboard comparing all options on your data
What you get
Customers running on pgvector typically save 50-80% versus a managed vector DB at comparable QPS and recall - without giving up retrieval quality.