Technical Knowledge Engine

Documents are extracted and normalised into a knowledge base that the model can query.

The project is shown at the level of problem, architecture and capabilities; some implementation details remain reserved.

01 · The problem

An LLM working from unprocessed documents can give fluent but incorrect answers. Knowledge must be extracted before it can be retrieved reliably.

02 · The idea

Documents → extraction → normalisation → database → knowledge → LLM.

03 · The system

The shared spine between the PDF pipeline, yacht pricing and the engineering assistant.

04 · The implementation

It is being developed as a reusable layer, with components intended for several use cases.

05 · The next step

Make retrieval boring: the right record, with a source, every time.

The architecture

Technologies

Services demonstrated