Local processing · Tailored configuration · Managed service
DOCUMENT RETRIEVAL · RAG

Ask your documents. Check the sources.

Retrieval-augmented generation connects a model with selected sources to find information and answer with context.
Prepare a discovery brief

From document to answer

Authorised sources are selected, their text is extracted and a search index is prepared. When a person asks a question, the system retrieves relevant passages and adds them to the model’s context.

The goal is to provide verifiable references and acknowledge when information is insufficient. Tests establish how well a specific configuration achieves that goal.

Sources, formats and permissions

Scanned PDFs may require OCR. Spreadsheets, tables and complex layouts must be tested before compatibility is confirmed.

  • An inventory of authorised sources and version control.
  • Separate collections for teams or clients.
  • A process for updating and removing documents.
  • Protection of indexes, histories, logs and backups.

Retrieval is different from training

RAG uses retrieved passages as context; it does not require modifying model weights. Fine-tuning is a separate process with its own requirements and costs.

References support verification, but do not eliminate mistakes or guarantee retrieval of the right passage. Professional decisions still require review.