Knowledge Systems & Retrieval

Internal Information Organisation

Before a large language model can assist your team, your documents must be logically organised. We assist in auditing current knowledge bases, identifying redundant information, and establishing a unified taxonomy. This foundational work is essential for accurate document retrieval.

Understanding RAG (Retrieval-Augmented Generation)

In business terms, RAG is a method that allows an AI to read your specific company documents before answering a question, rather than relying on its general training. We help plan the architecture for RAG systems, explaining how search databases (vector stores) connect with language models to provide contextual answers based solely on your approved data.

Document Preparation & Permissions

Connecting a system to your internal knowledge requires strict mapping of information permissions. A user querying the system should only receive answers based on documents they are explicitly authorised to view. We outline the strategies for tagging and compartmentalising data to maintain internal confidentiality.

Review Processes

Knowledge systems degrade if the underlying information is outdated. We help establish governance and review processes, ensuring that standard operating procedures, policies, and technical documentation are regularly updated before being fed into retrieval systems.