Citation Source and Traceability for Textile Manufacturing Investment Research Knowledge Base Construction

Textile manufacturing investment research data comes from multiple sources. These include monthly operation reports from the China Textile Industry

What This Type of Data Looks Like

Textile manufacturing investment research data comes from multiple sources. These include monthly operation reports from the China Textile Industry Association, annual/half-year financial reports of listed textile enterprises, futures market data for raw materials such as cotton and polyester, and ISO textile process standard documents. Update frequencies cover four ranges: real-time (raw material market trends), monthly (industry operation data), quarterly (segmented category reports), and annual (enterprise annual reports). Document types include multi-page PDF research reports, structured Excel production capacity tables, and plain text industry updates. Fields include yarn count specifications, loom operating rate, raw material purchase price (unit: yuan/ton), fabric weight (unit: gram/square meter), and more. Some documents include graphic and text explanations of production processes.

Constraints on Citation Source and Traceability

Textile manufacturing investment research data has multiple types and update frequencies. These traits impose multiple constraints on the citation traceability link. Structured production capacity and price tables coexist with unstructured research reports and dynamic documents. Configure differentiated fragment positioning rules for different document formats. This ensures traceability accurately points to table cells or research report paragraphs. Real-time raw material market data must be bound to data source timestamps. This prevents traceability failures when data refreshes. Data of the same category from multiple enterprises and channels must retain complete source identifiers. These identifiers include publishing organization and publishing time. This supports cross-verification by investment research personnel. Chunk processing of long documents must retain original page numbers or chapter numbers. This avoids loss of traceability information.

How to Configure Settings

Configuration ItemRecommended ValueRationale
Recall countTop 10-15 entriesTextile manufacturing research reports are mostly long documents. Sufficient fragments must be recalled to cover production capacity, price and process information required for investment research
Similarity threshold0.72-0.85Distinguish similar terms in the textile industry, avoid accidental recall of general chemical document fragments
Chunk size800-1200 charactersAdapt to the chapter and paragraph length of textile research reports, retain complete context of process descriptions or data tables
PARSE_FILE_TIMEOUT_SECONDS600 secondsAvoid parsing timeouts when processing large annual report PDFs of listed enterprises
Citation Display FormatRetain document name + chapter/page number + fragment contentMatch the precise traceability habits of investment research personnel
Workflow Knowledge Base Variable BindingEnable dynamic bindingSupport passing specified textile enterprise or category knowledge bases via API, adapt to segmented investment research scenarios

The parameter values provided on this page are conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. Testing on local samples is recommended before finalizing values.

Three Common Configuration Mistakes

  • When not upgraded to V4.8.18-FIX2 or later, citation variables in {{}} format will have compatibility errors, leading to incorrect display of traceability information. The reason is that the old version's variable parsing logic does not adapt to the fragment reference format of complex documents.
  • When not correctly passing knowledge base variables when calling a workflow, the Knowledge base search node will return empty results or match incorrect document libraries. The reason is that the knowledge base ID variable is not passed in the parameter format required by the API documentation, and dynamic binding configuration is not completed.
  • When the 引用返回时机 parameter is not configured, the interface will return the citation list before returning the answer content. This does not meet the streaming output requirements of some investment research scenarios. The reason is that the citation list returns early under the default configuration, and the parameters are not adjusted to adapt to streaming interaction.

How to Confirm Configuration Is Complete

  • Upload an annual PDF report of a listed textile enterprise, trigger knowledge base search, and check if the returned citation list includes document name, chapter page number or specific paragraph position.
  • Call the test API to pass the knowledge base variable of the specified textile raw material, confirm that the Knowledge base search node matches documents of the corresponding category, and the matched content is textile industry-related knowledge base content.
  • Adjust the Similarity threshold parameter to 0.6 and 0.8, compare the recall results of the two searches, and confirm that the proportion of irrelevant fragments changes after the threshold adjustment.
  • Enable the streaming output interface, check if the returned citation list is displayed synchronously with the answer content, and the returned citation list is output synchronously with the answer content.

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.