Productivity
Overview
Archiveye consente agli utenti autenticati di individuare le proprie raccolte attive nella base di conoscenza, effettuare ricerche nei documenti indicizzati tramite recupero semantico o full-text, esaminare i metadati dei documenti, interrogare set di dati tabulari strutturati con SQL in sola lettura e caricare il testo completo dei documenti quando le anteprime di ricerca non sono sufficienti. La ricerca semantica genera gli embedding delle query tramite il servizio di embedding gestito internamente da Archiveye prima di recuperare i segmenti corrispondenti dalle raccolte private dell'utente.
Tools
Execute read-only SQL SELECT on one structured document in a collection. Use FROM t only. Requires prior get_tabular_schema. Arguments: - collection_id (int, required) - document_id (int, required) - sql (str, required): SELECT ... FROM t ... - sheet (str, optional): sheet slug or name for multi-sheet workbooks - limit (int, optional): max rows (default 1000)
get_document
ChatGPTFetch metadata for a document that belongs to any of the user's collections (no body text). Arguments: - document_id (int, required): id of the document as returned by
search_semantic, search_fulltext or list_collections. Returns a JSON object with id, metadata_id, name, type, size, processing_status, created_at, content_chunks and (when present) a metadata object from the metadata table (type, meta_description, json_data). When the document is structured tabular data, a tabular object includes the full sheets catalog (all columns per sheet) for multi-sheet workbooks — same data as get_tabular_schema. Use search tools for narrative text; use tabular tools for SQL analytics.get_document_content
ChatGPTRetrieve the full markdown body of ONE document (exceptional use only). Token cost: returns the entire document text — use sparingly to avoid excessive token consumption. Do not call routinely or in bulk. Default to
search_semantic / search_fulltext chunk previews; call this tool only when those previews are clearly insufficient to answer. Ask the user before using this tool unless they explicitly requested the full document text. Arguments: - document_id (int, required): from search results or prior tool output. Example: get_document_content(document_id=874)get_tabular_schema
ChatGPTReturn schema and stats for a structured document in a collection. Use when structured_document_count > 0 in list_collections. Arguments: - collection_id (int, required): from list_collections. - document_id (int, required): structured document id. - sheet (str, optional): sheet slug or name for multi-sheet workbooks. Call before execute_tabular_query.
list_collections
ChatGPTList all active knowledge base collections owned by this user, as a JSON array. Each entry contains: id, name, description, options (list of {name, value} pairs describing the collection's topics), document_count, indexing_status and last_indexed_at. Use this tool first and then pick the single most relevant collection_id to pass to
search_semantic / search_fulltext. Example output: [ {"id": 12, "name": "HR policies", "description": "Internal HR rules, leave, onboarding", "options": [{"name": "topic_area", "value": "hr"}], "document_count": 34, "indexing_status": "COMPLETED", "last_indexed_at": "2026-04-15T09:12:03"} ]search_fulltext
ChatGPTFull-text (BM25) keyword search inside ONE collection — best for exact terms, codes, names, or acronyms. Arguments: - collection_id (int, required): from
list_collections. - query (str, required): keywords or short phrase. - limit (int, optional, default 5): max hits. Example: search_fulltext(collection_id=12, query="art. 32 GDPR", limit=5)search_semantic
ChatGPTSemantic (vector) search inside ONE collection — best for meaning, concepts, or paraphrased questions. Arguments: - collection_id (int, required): from
list_collections. - query (str, required): natural-language query. - limit (int, optional, default 5): max hits. Example: search_semantic(collection_id=12, query="congedo parentale", limit=5)execute_tabular_query
Claudeget_document
Claudeget_document_content
Claudeget_tabular_schema
Claudelist_collections
Claudesearch_fulltext
Claudesearch_semantic
ClaudeExample Prompts
Click any prompt to copy it.
Links
App Stats
14
Tools
2
Prompts
ChatGPT, Claude
Platforms
Category
Document SearchWorks with
ChatGPT
Claude
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