The solution is in three steps:
- automation analysisBatch upload PDF/Word format financial reports, research reports, automatic extraction of text, table key data
- intelligent retrieval: pinpointing relevant content segments through natural language queries such as "Reasons for change in gross profit margin of a company in Q3 2023"
- knowledge connection: Knowledge graph function to show the correlation network between enterprises and indicators, assisting in the discovery of potential patterns
The system supports vector databases such as PostgreSQL, which can handle millions of documents, and analysts can also save common search terms to form a personalized workflow.
This answer comes from the articleWeKnora: Tencent's out-of-the-box enterprise-level Q&A knowledge baseThe
May not be reproduced without permission:AI productivity tools " Eliminate information overload for financial analysts dealing with large volumes of research reports
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