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.
Managed Vector Store
pgvector on Hanzo Base — no separate infrastructure. Index billions of embeddings with sub-10ms retrieval.
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.
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Enterprise ready
Deploy with confidence
SOC 2 Type II certified. GDPR and CCPA compliant. 99.99% SLA. Dedicated support engineers for Enterprise plans.