Managed Vector Store
pgvector on Hanzo Base — no separate infrastructure. Index billions of embeddings with sub-10ms retrieval.
Use Case
RAG Applications
Build retrieval-augmented generation at enterprise scale
Ground every LLM response in your proprietary data. Hanzo's vector database, embedding pipeline, and inference gateway let you build production RAG in hours — not months.
What's included
Every feature you need to ship fast and scale confidently.
Embedding Pipeline
Auto-embed documents on ingest. Supports Zen3-embedding, OpenAI, Cohere, and custom models.
Hybrid Search
Combine dense vector search with BM25 keyword search for best-of-both precision.
Context Window Management
Smart chunking, re-ranking, and context compression to fit retrieved knowledge into any model.
Observability
Trace every retrieval step. Debug hallucinations by inspecting exactly what context was injected.
Multi-tenant Isolation
Namespace indexes per customer. Keep enterprise data siloed with row-level security.
Use cases
Real workloads, real teams, real impact.
- Internal knowledge bases and enterprise search
- Customer support with grounded, accurate answers
- Legal and compliance document analysis
- Medical and scientific literature review
- Code repository search and assistant
Start building today
Get up and running in minutes. Our documentation covers everything from quick start to production deployment.
Also available on
AWS MarketplaceAzure MarketplaceGCP Marketplace
Enterprise ready
Deploy with confidence
Continual internal audits, a full audit trail, and your own tenancy. Custom SLA and dedicated support engineers on Enterprise.