Fullcorpus

What it is

Fullcorpus is our corporate RAG (retrieval-augmented generation) assistant. It indexes the documents a company already produces — reports, proposals, policies, technical documentation, meeting notes — and lets teams query that knowledge in natural language.

Instead of hunting through shared drives or pinging a colleague who “knows where that file is”, the answer arrives with the source passages attached.

How it works

• Ingestion — documents are parsed, chunked and embedded into a vector store.
• Retrieval — a query is matched against the index, returning the most relevant passages.
• Generation — a self-hosted language model composes an answer grounded strictly in the retrieved context.
• Citations — every answer links back to the original source so it can be verified.

Why it matters

The value of a RAG system is not the model — it is the quality of the corpus and the discipline of the retrieval. Fullcorpus is built to run entirely inside your own infrastructure, so confidential documentation never leaves the perimeter.

This project is hosted as a standalone application.