Internal Knowledge Engine (RAG)

The problem

Organizations that produce or receive large volumes of documents — reports, studies, meeting notes, contracts — accumulate valuable internal knowledge that is difficult to leverage. Traditional keyword search fails as soon as a question doesn't use the exact same terms as the source document. The result: teams re-doing analyses that already exist, simply because they cannot find them.

Our approach

1. Indexing — We structure and index your internal documents, regardless of their original format.
2. Semantic search — We deploy an engine capable of understanding the intent behind a query, beyond simple keyword matching.
3. RAG assistant (Retrieval-Augmented Generation) — We connect a conversational assistant to your document base, able to answer questions while precisely citing its internal sources.
4. Security and governance — We configure access rights so each user only sees the documents they are authorized to view.

Deliverables

• An operational semantic search engine covering your documentation
• A sourced conversational assistant, deployed internally
• Technical documentation for maintenance and adding new documents

Why Lektaris

We apply the same methodology to your internal document base as the one that lets us turn thousands of academic theses into concise executive briefs: rigorous structuring, semantic search, and systematic verifiability of the answers produced.