Automated API DOC parsing for NetSuite ERP intelligence
Automated API DOC parsing for NetSuite ERP intelligence converts each legacy Word document attached to a record into searchable passages, so the assistant answers from the file rather than from fields someone typed.
How does automated API DOC parsing feed NetSuite ERP intelligence?
Automated API DOC parsing for NetSuite ERP intelligence converts each attached legacy Word document into passages when the file is saved, so the assistant can cite the file instead of guessing from record fields.
Where the legacy Word document sits in NetSuite
NetSuite keeps the file in the File Cabinet and links it to the transaction, vendor, or item. The typed fields on that record are already searchable. The legacy Word document is not, until automated API DOC parsing copies its words into passages keyed to the same record. ERP intelligence that only reads the fields is intelligence about what a person typed, not about what the file says.
What a legacy DOC actually yields
A .doc file is Word 97-2003: an OLE container, a WordDocument stream, and a piece table that says which spans of text are current. Reading the stream linearly is the classic mistake, because revisions are appended and only the piece table puts them in order. A .docx renamed to .doc is a zip, not this format, and the parser says so. Legacy PowerPoint .ppt is a different binary and is still refused.
The API call that feeds NetSuite
A SuiteScript user event or a scheduled script can POST those bytes when the file is attached. The response is JSONL, one passage per line, with the record id in metadata for the retrieval store beside NetSuite. Asking a model to reread the legacy Word document inside chat for every question never builds that index. Automated API DOC parsing runs when the file is saved, once, and later questions retrieve.
What the answer is allowed to cite
After a clean parse, an answer should cite the passage and the legacy Word document it came from. A file that yields no text is a skip, named as a skip, not a blank passage that crowds real hits. The parsers are Remade with Rust crates, and RAG Converter is part of MATA. The longer note on this format is RAG for Word.