Automated API PowerPoint parsing for SAP ERP intelligence
Automated API PowerPoint parsing for SAP ERP intelligence converts each PowerPoint deck attached to a record into searchable passages, so the assistant answers from the file rather than from fields someone typed.
How does automated API PowerPoint parsing feed SAP ERP intelligence?
Automated API PowerPoint parsing for SAP ERP intelligence converts each attached PowerPoint deck into passages when the file is saved, so the assistant can cite the file instead of guessing from record fields.
Where the PowerPoint deck sits in SAP
SAP keeps the file on the business object through Generic Object Services or ArchiveLink, beside the order, invoice, or vendor. The typed fields on that record are already searchable. The PowerPoint deck is not, until automated API PowerPoint 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 PowerPoint file actually yields
A .pptx is a zip of slide XML. The parser reads the text runs on each slide in ppt/slides and joins them into one passage per slide. A deck whose slides have no text returns an error rather than an empty success. Speaker notes live in a different part of the package and are not what this slide walk collects. A legacy .ppt binary is unsupported.
The API call that feeds SAP
An integration flow or an attachment event can POST those bytes when the document is linked. The response is JSONL, one passage per line, with the record id in metadata for the retrieval store beside SAP. Asking a model to reread the PowerPoint deck inside chat for every question never builds that index. Automated API PowerPoint 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 PowerPoint deck 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 PowerPoint.