Hybrid search
Semantic vector search combines with classic full text search, and your query is automatically expanded by a language model first so paraphrases still match.
Document search finds files the way you think: by content and context, not just by file name. A plain language description is enough.
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Semantic vector search combines with classic full text search, and your query is automatically expanded by a language model first so paraphrases still match.
You can scope a search to a single folder instead of always searching the entire archive.
Documents from Google Drive and OneDrive are imported through a secure OAuth connection and parsed automatically.
Every result links straight back to the original file in its source system with one click.
The current offer, the latest deck, the signed contract: found before the customer asks twice.
Minutes, guidelines and processes appear exactly when they are needed, no matter where they were filed.
Specs and documentation from Drive, OneDrive and your uploads in one search instead of five tabs.
Today Traize searches by content, context and folder. Dedicated time period filtering is in progress.
No, document search covers your connected file storage, not the chat conversation itself.
PDF, Office files and other common formats are parsed automatically and split into searchable sections.
Your company's lived expertise, on demand.
Capture knowledge before it's lost.
Knowledge that captures itself.
Traize where you already work.
Ask questions, retrieve knowledge. Contextual, secure, in real time.
The right person for every question. Across your entire company.