What this type of data looks like
Data sources for consumer building materials research reports include industry association public reports, investor relations announcements from leading building material enterprises, special surveys from third-party consulting institutions, and bidding data from local housing and urban-rural development departments. Update frequencies fall into three categories:
- Monthly shipment and price data for segmented categories is updated monthly
- Quarterly operating data of enterprises is released quarterly
- Bidding and real-time channel data is synchronized daily
Documents typically include core summary, regional market analysis, cost fluctuation, and policy interpretation modules. Fields include monthly shipment volume per category (tons), ex-factory unit price (yuan/square meter), number of core dealer coverage, monthly shipment volume in East China (tons), and monthly shipment volume in North China (tons).
What constraints do these characteristics impose on the citation source and traceability workflow
The multi-source, dispersed nature of consumer building materials research reports requires the traceability workflow to support matching unique identifiers across different data sources. These identifiers include industry association report numbers, enterprise announcement release dates, and bidding project numbers. Data sources with different update frequencies require corresponding recall time range configurations:
- Monthly shipment data only recalls documents from the last 12 months
- Real-time bidding data uses a 7-day recall window
The multi-module structure of long documents requires traceability to specific paragraphs, not entire documents. For multi-field attributes, configure field-level traceability rules to associate data such as shipment volume and unit price with corresponding chapters of the relevant data source. Also distinguish data source types, and mark the report source category in traceability results to help verify data credibility.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 10 entries | Consumer building materials research reports have high data density; recalling 10 entries covers core data sources and avoids redundant results |
source_cite_field | ["report_id", "publish_date", "data_source_type"] | Matches the three types of identifiers of consumer building materials research reports: report number, release time, and source category, to complete complete traceability |
chunk_size | 800–1200 characters | Adapts to the length range of single-module data in consumer building materials research reports, enabling accurate positioning to corresponding data chapters after segmentation |
cite_chunk_only | Enabled | Only references the matched content segments, avoiding introducing irrelevant information from entire document traceability |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Single consumer building materials research reports have relatively long length, reserving sufficient time for field extraction and traceability matching |
similarity_threshold | 0.75–0.85 | Filters irrelevant documents while retaining relevant data sources, adapting to research report text with many professional terms |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: No
cite_idfield appears in results returned by the retrieval API call. Cause: Thesource_cite_fieldparameter is not configured, or the configured fields do not exist in parsed document metadata. - Phenomenon: A
400 Bad Requesterror appears when viewing knowledge base citations in chat responses. Cause: Aftercite_chunk_onlyis enabled, segmented citation identifiers are not generated correctly, preventing traceability links from being created. - Phenomenon: The data source cited in retrieval results does not match the actually matched research report content. Cause: The
similarity_thresholdvalue is set too high, only recalling documents with high similarity but no matching target fields, or thechunk_sizeis set too large, causing segments to cover irrelevant chapters.
How to Confirm Proper Configuration
- Upload a consumer building materials research report to the knowledge base, view parsed metadata, and confirm that the
report_id,publish_date, anddata_source_typefields are correctly extracted. - Initiate a retrieval request, check whether returned results include the
cite_idfield, and that the field value corresponds to parsed document metadata. - View the citation pop-up window in chat responses, confirm that cited content corresponds to a specific paragraph of the research report, not the entire document.
- Adjust the
similarity_thresholdvalue, compare changes in the number of retrieval results, and verify whether the threshold configuration meets business requirements.
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.