Skip to main content
GullySystem

RAG Retrieval Pipelines for Your Own Product

A RAG application retrieves passages from your content before an answer is generated, so replies are grounded in your documents. It is delivered as an API for your own product, portal or internal tool.

Share your requirements

What retrieval adds

A general model knows nothing about your rate list, your procedures or last quarter’s circular. Asked about them, it produces something plausible. Retrieval changes the order of work: find the passages that apply, pass only those, and require the answer to cite the document used. An answer that cannot be traced to a passage is refused.

What a build involves

Preparing content

Documents are split so a clause stays with its context, and versioned so a superseded circular stops being retrieved.

The index

Passages are stored for meaning-based search and rebuilt when documents change, with permissions carried alongside each passage.

The API

A plain endpoint takes a question and a user from your application and returns an answer, its sources and a confidence signal.

Evaluation

A set of real questions with known correct answers is rerun after every content or model change, to catch regressions.

When you do not need this

If what you want is a working assistant for your staff or customers, the ready assistant is a shorter route and comes with an interface. RAG as a component suits teams building their own product, who need the retrieval layer and will handle the rest themselves.

FAQ

Frequently asked questions

How is a RAG application different from a chatbot?

A chatbot is the finished thing a customer talks to. This is the layer underneath it, delivered as an API for your engineers to call from whatever interface you are building.

What content can be indexed?

Text-based documents, spreadsheets and database records, plus scans once they have been read into text. Output quality follows source quality, so a folder of unlabelled photographs will not index usefully.

How is accuracy checked?

Against a question set drawn from your own business, with answers your experts agree on. Results are reported as right, wrong and correctly refused, because a refusal is a good outcome when the content does not cover the question.

Who owns the index and the code?

You do, running on accounts in your name. The documents never leave your control, and the retrieval code is handed over with the evaluation set so your team can keep testing it.

Talk to us

Tell us what you need.

Share your requirements and one of our engineers will come back to you within one business day.

  • No obligation
  • A reply within one business day
  • Your details stay private

Start with your requirements

Seven short steps that tell us what you need. An engineer reads them before getting in touch.

Share your requirements