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Deep Research KTZH helps you find answers in large, unstructured document collections — without reading through everything yourself. You describe what you want to find out, and the tool automatically searches your documents, checks the results for relevance, and digs deeper across multiple rounds until it has gathered enough insight to answer properly. It then writes up a structured final report, exportable as a Word document. Because it only searches your own document collection, no outside web content or unrelated sources can sneak into the results. A typical use case at the Canton of Zurich: tracing how a topic was discussed in parliament over the years, by researching across many years' worth of «Kantonsratsprotokolle» at once instead of reading them one by one. The workflow can also be adapted to run with on-premises language models, making it suitable for sensitive or confidential documents.
Funzionalità
- LLM
- Hybrid Search
- Iterative Research
- Automated Report Generation
- docx-Export
- On Premise
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internal
- Team Data, Amt für Statistik und Daten Email
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