RAG Systems

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 data

Generic 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.

What it costs

$10k – $63k+

Most land at $25k – $63k

Fixed scope and fixed price, evaluation suite included.

The jump between bands is permissions and evaluation rather than model work. Inference is billed separately and scales with usage.

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.

What's included

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.

Stack

Built on

PythonpgvectorPostgreSQLOpenAIAnthropic
FAQ

Common questions

ChatGPT answers from the public internet. A RAG system answers from your data — with citations — so it's accurate about your business and safe to ship.

Ready to start?

Book a 30-minute call — you'll walk away with a scope, a timeline and a fixed price.

Book a call