Azure‑native RAG search, API‑first
High-quality file ingestion for better chunking and retrieval.
Flexible retrieval: Vector, full-text, and hybrid querying capabilities.
API-first (no UI bloat): Serverless infrastructure that processes data and requests without paying for SKUs.
Coming Soon
Retrieval that Works Harder
and Costs Less
Ingest unstructured data, including text, images, audio, PDFs, and more, then search it instantly without paying for space you do not use.
Cut the Bulk,
Keep the Brains
RAG.DB is a vector search engine built for AI applications that need accuracy without delay. It handles multiple formats natively, so you skip the manual prep and feed your AI exactly what it needs.
Why Teams Switch to RAG.DB
Scales instantly
Serverless infrastructure that adapts to your load and scales up on-demand
AI-optimized search
Designed for Retrieval-Augmented Generation workflows
Real-time sync
Keeps your index fresh as soon as data changes
Multi-modal ingest
Accepts all major file types and data formats in a single system
Usage-based pricing
Pay only for the data you store and search