What the data for this category looks like
Consumer building materials investment research data primarily originates from industry association monthly monitoring reports, annual reports of listed building material enterprises, winning bid announcements on public resource trading platforms, and upstream supply chain ex-factory price monitoring databases. Data update frequencies cover real-time (winning bid announcements), daily updates (ex-factory prices), and quarterly updates (industry research reports). Document formats include structured price detail sheets (with product specification, origin, and unit price fields), industry research reports with citation annotations, and multi-category summary bidding documents. Most fields include "product specification and model", "tax-included unit price", "winning bid region", and "release date". Units include category-specific values such as yuan per square meter, yuan per ton, and ten thousand yuan per set.
Constraints on citation source and traceability from these characteristics
The varied update cycles of consumer building materials data require traceability information to clearly mark release times, to avoid confusion between price fluctuations across different periods. Documents with a high share of structured tables require citation traceability to retain original table fields and units, and avoid generalized merging. The multi-segment category feature requires matching the "category + specification + unit" combination during retrieval, to prevent irrelevant data from being mixed across categories. In scenarios with a high proportion of long documents, citation chains from the original text must be retained during segment parsing, to avoid breaks in traceability information.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | 6–10 | There are many segmented categories in consumer building materials. 6-10 entries can cover major data sources and avoid redundant content interfering with investment research judgments |
similarity threshold | 0.75–0.85 | Building materials have dense professional terminology. A threshold that is too low will mix in data from unrelated categories, while a threshold that is too high will miss accurately matched professional documents |
segment length | 800–1200 characters | Balances parsing for short-format price sheets and long-format research reports, retains field integrity and contextual association |
citation source display fields | ["release date", "data source name", "product specification"] | Investment research personnel need to confirm data timeliness, source credibility, and category matching. This combination covers core verification needs |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large bidding documents contain multi-category building material details, which take longer to parse. 120 seconds covers most scenarios |
maxContextToken | 30000–50000 token | Consumer building materials research reports and summary data have relatively long lengths. This value range can retain complete traceability information and avoid truncation of key content |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: AI-generated citation content loses the original table format and only shows plain text paragraphs. Cause: The
retain original text segmentationconfiguration is not enabled, and the default large model automatic summary rewriting is activated, which damages the display of structured data. - Phenomenon: Retrieval results only return 2 entries, which does not match the set
recall count. Cause: Thesimilarity thresholdis incorrectly set to above 0.9. An overly high threshold filters out a large number of eligible segmented category data. - Phenomenon: The conversation interface returns a
504 Gateway Timeoutstatus code, and logs indicate the knowledge base token limit is exceeded. Cause: ThemaxContextTokenvalue is not restricted, and is incorrectly set to unlimited or a value exceeding actual requirements, causing each retrieval to push an excessive volume of knowledge base content.
How to verify correct configuration
- Upload a consumer building materials price detail sheet, trigger retrieval, and check the citation source area. Confirm that the displayed fields include release date, data source name, and product specification, and verify that the fields match the
citation source display fieldsconfiguration. - Adjust the
similarity threshold, upload documents with different specifications for the same category, and test whether retrieval results exclude content with unrelated specifications, to verify threshold adaptability. - Upload a bidding document exceeding 10,000 characters, check the parsing progress, and confirm that parsing time does not exceed the
PARSE_FILE_TIMEOUT_SECONDSsetting. - Initiate a query covering multiple building material categories, check whether returned citation results cover documents from multiple data sources, to verify the effectiveness of the recall configuration.
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.