wdoc's developer ecosystem build
wdoc is designed with modularized architecture and all core features provide Python API interface. Developers can install the base package directly via pip, or get the dev branch from GitHub to experience the latest features. The system contains three extensible layers:
- Document Loader Layer: Support for custom document parser development
- Processing middleware: NLP components such as entity recognition can be plugged in
- Output adapters: flexible interfacing with different BI tools
The technical team especially maintains well-typed SDK documentation, including 200+ code samples. In the financial research report analysis system, an organization based on wdoc secondary development of intelligent reading plug-ins, so that analysts work efficiency increased by 3 times. The project is licensed under Apache 2.0, which allows modification and redistribution for commercial use.
This answer comes from the articlewdoc: retrieve content and summarize knowledge from massive, multi-source documentsThe
English 
简体中文 
日本語 
Deutsch 
Português do Brasil