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Case study — 2026
A fictional case study for a private documentation assistant that answers from authorized sources, measures its limits and knows when to abstain.
Key decisions
The context, trade-offs and technical choices that shaped the outcome.
Mnémo imagines a knowledge assistant for teams working with procedures, incident records and sensitive documentation. Speed matters, but an answer is only valuable when it can be verified.
Retrieval combines keywords, semantic similarity and business metadata. Every claim points to the passage used, its version and the user’s access scope; outdated material is flagged instead of hidden.
Documents, indexes and caches remain separated by organization. Permissions are evaluated during retrieval, sensitive data is filtered and no conversation is used to train an external model.
Business question sets measure accuracy, citations, abstention, latency and cost. A new configuration ships through a canary and only progresses when it clears every threshold without a security regression.
