Knowledge Base Retrieval and Recall for Chemical Pharmaceutical Financing Daily Reports

Data sources for chemical pharmaceutical financing daily reports include temporary announcements from listed companies, disclosure documents from the

What the data for this category looks like

Data sources for chemical pharmaceutical financing daily reports include temporary announcements from listed companies, disclosure documents from the national equities exchange and quotations system, and financing updates from industry news aggregation platforms. Updates are released in real time on workdays as financing events are disclosed. Each document follows a structured format, with fields including disclosure date, full enterprise name, financing type, financing amount, investors, fund usage, announcement link, and more. Some documents include additional segment track descriptions. Financing amounts are listed in ten thousand or hundred million yuan. Disclosure dates use the YYYY-MM-DD format. Enterprise names use their full industrial and commercial registration names.

What constraints these characteristics impose on knowledge base retrieval and recall

The large number of structured fields and inconsistent data standards require precise filtering by metadata fields during retrieval. This prevents matching errors caused by inconsistent units or terminology. The large volume of daily updated documents requires recall logic to support time range filtering via disclosure dates. This avoids redundant results. Clear segment tracks for chemical pharmaceuticals require retrieval to associate industry classification metadata. This filters out financing information from non-target sectors. Some documents include segment track descriptions. Parsing must retain these text fragments to improve retrieval targeting.

How to Set Configurations

Configuration ItemRecommended ValueRationale
metadata_field_map{"Disclosure Date":"publish_date","Financing Amount":"amount","Industry Classification":"industry","Financing Type":"finance_type"}Matches the structured metadata fields of chemical pharmaceutical financing daily reports, enabling subsequent filtered retrieval by field
maxContext800–1200 charactersThe main text of individual announcements for chemical pharmaceutical financing daily reports is mostly under 1,000 words. Excessive length exceeds context windows and reduces recall accuracy
recall_top_kTop 8–12 resultsFinancing daily reports have high effective information density. Too many recalled results introduce irrelevant content, while too few miss critical events
similarity_threshold0.75–0.85High precision is required for matching financing event keywords. A threshold that is too low introduces irrelevant announcements, while a threshold that is too high misses matching events from the same track
PARSE_FILE_TIMEOUT_SECONDS60 secondsStructured announcement documents have short parsing times. Timeouts cause file upload failures
enable_metadata_filterEnabledRapid filtering of recall results by metadata such as industry classification and disclosure date is required to improve retrieval targeting

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing values.

Three Common Mistakes

  • Issue: When passing the metadata parameter while calling the create file collection interface, retrieval results do not carry this metadata field. The cause is failure to declare the mapping relationship for this parameter in the metadata_field_map configuration item. This prevents metadata from being included in the index.
  • Issue: RAG retrieval results include financing announcements from non-chemical pharmaceutical sectors. The cause is failure to enable the enable_metadata_filter configuration, or failure to configure filtering rules for the 行业分类 metadata, without limiting the retrieval scope.
  • Issue: After uploading financing daily reports in doc/docx format, retrieval results do not include main text section titles. The cause is failure to enable the document parsing switch for retaining section structure. This prevents section titles from being extracted as index content.

How to Confirm Configuration Is Complete

  • Call the create file collection interface, then view the returned collection_info field. Confirm the metadata_field_map configuration has been saved correctly.
  • Upload a single chemical pharmaceutical financing daily report document. Initiate a retrieval, then view the metadata fields of the recall results. Confirm fields such as 披露日期 and 融资金额 are correctly carried.
  • Add metadata filtering conditions when initiating retrieval. Confirm retrieval results only include documents that meet the filtering rules.
  • After initiating retrieval, ask the AI a chemical pharmaceutical financing-related question outside the knowledge base. Confirm the AI cannot generate answers beyond the index scope.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.