Thanks for the great question! We actually use a reasoning-based, vectorless approach. In short, it follows this process:
1. Generate a table of contents (ToC) for the document.
2. Read the ToC to select a relevant section.
3. Extract relevant information from the selected section.
4. If enough information has been gathered, provide the answer; otherwise, return to step 2.
We believe this approach closely mimics how a human would navigate and read long PDFs.
Interesting, is this based on an external Vector DB to store and process the PDF?
Thanks for the great question! We actually use a reasoning-based, vectorless approach. In short, it follows this process:
We believe this approach closely mimics how a human would navigate and read long PDFs.Sounds interesting, will try it out.
Thanks, any feedback is welcome!
非常有价值！
thanks!