RAG development services — AI that actually knows your business
We build retrieval-augmented generation systems that answer from your own documents and data — grounded, cited and trustworthy, instead of hallucinating from the open internet.
AI on your dataGeneric AI doesn't know your data
Off-the-shelf chatbots are impressive until you need answers about your contracts, your docs, your product.
Hallucinations you can't ship
An assistant that confidently makes things up is a liability, not a feature.
Knowledge trapped everywhere
Your answers are locked in PDFs, wikis, tickets and databases nobody can search.
Fixed scope and fixed price, with the evaluation suite included rather than sold as an extra.
Retrieval quality is the deliverable, not a demo. We agree what 'good' means before we start.
Every engagement is quoted individually. You get a written scope, a timeline and a fixed number — usually within a day of the call, and always before any work starts.
Every engagement: you own the code and the accounts from the first commit, and we tell you on the call if RAG Systems is not what you need.
RAG Systems, end to end
Data ingestion & chunking
We connect your sources — docs, databases, tickets — and prepare them for retrieval.
Vector search
Semantic search (pgvector and friends) so the model retrieves exactly the right context.
Grounded, cited answers
Every response backed by its sources, so users — and you — can trust it.
Guardrails & evaluation
Automated evals and guardrails that keep answers accurate and on-topic.
Chat, search or API
Delivered as a chatbot, a search box, or an API baked into your product.
The right models
Built on modern models from OpenAI and Anthropic, chosen for accuracy and cost.