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Semantic search across ingested documents. Returns top-k passages.
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Based on SOC occupation classification
Generate a Word document from ingested source documents using the agnostic Document tree (CommonMark/Pandoc-aligned)
Generate a single Document (Word/PowerPoint) from all source documents in a collection, with attributions back to each source
Generate a PDF from ingested source documents using the agnostic Document tree
Generate a PowerPoint deck from ingested source documents using the agnostic Document tree (parametrised by slide_count, style, audience, tone)
Generate an Excel workbook (.xlsx) from ingested source documents — tabular with charts, formulas, KPI cells
Find PII (emails, phones, SSN, credit cards, IBANs, names, addresses, DOB) in an ingested document; return redaction plan
| name | vector-search |
| description | Semantic search across ingested documents. Returns top-k passages. |
| model | deepseek/deepseek-v4-flash |
| tier | flash |
| inputs | [{"name":"query","type":"str","required":true},{"name":"document_ids","type":"list[str]","required":false},{"name":"collection_id","type":"str","required":false},{"name":"limit","type":"int","required":false}] |
| outputs | [{"name":"count","type":"int"},{"name":"results","type":"list[dict]"}] |
