TotalApp's AI-powered tools can find and surface relevant material from your personal knowledge library automatically — ranked by meaning, not keywords, and running entirely on your own machine.
Escalate to the account owner after 48 hours of delay; log the impact on the production schedule and notify planning.
Penalty clause applies when on-time delivery falls below 94% over a rolling quarter.
We agreed to split the order and air-freight the critical parts to protect the launch date.
Industry median lead time rose 9% — buffer stock recommended for single-source parts.
Semantic Search converts your knowledge library and your current input into text embeddings, then compares them directly using cosine similarity — surfacing the most relevant material first, without you ever typing a search query.
Today, every AI Writer screen — Blog Writer, Essay Writer, Article Writer, Storyteller, Anime Writer, Scenario Writer, and Smart Rewriter — uses Semantic Search behind its Attach Knowledge button. It's simply the first place this capability was built; more AI-powered tools are expected to use it over time.
Choose how much control you want. Assisted mode ranks sources but leaves the final pick to you. Automatic mode attaches the best matches for you — no clicks required.
Semantic Search shortlists the closest records; an optional Rerank model then reads your text together with each one and re-scores them. The most relevant result rises to the first place, and the weaker ones drop away before anything reaches the AI step.
Embeddings are computed by a local Ollama instance running on your own computer. TotalApp's cloud server has no network path to reach it — ranking always happens directly between your browser and your own machine.
Semantic Search is built into TotalApp's AI tools today — starting with the AI Writer suite — and designed to expand as more AI-powered features ship.