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Home/Design services/Data and retrieval
Retrieval infrastructure so your models answer from your data
Ingestion pipelines, embedding services, a vector store and retrieval APIs. Designed so the model answers from your content, not its training data.
What you get
Designed for your environment
Ingestion pipeline
Batch and streaming ingestion from your document stores, databases and APIs.
Vector store
pgvector, Qdrant or Weaviate depending on query patterns and scale.
Embedding service
On-premises embedding to keep your data from leaving your perimeter.
Retrieval API
A retrieval service your application queries. Handles chunking, ranking and filtering.
Deliverables
What lands at the end of the engagement
Working environment
Built, commissioned and tested against the design.
Runbooks
Day-one operations and common failure procedures.
Evidence pack
Configuration, test results and controls for your audit team.
Named team
The engineers who built it, reachable afterwards.
FAQ
Common questions
Does data leave our infrastructure during embedding?
No. Embedding runs on your hardware. Nothing is sent to an external API.
Which vector databases do you support?
pgvector, Qdrant and Weaviate are the three we design with most. We follow your existing database team's preference where one exists.
Next step
Scope this service today.
Fixed price, defined scope, handed over working.