What the data for this category looks like
Data sources for consumer building materials research reports mainly come from securities firm consumer building materials research teams, public industry association reports, and annual research documents from leading building materials enterprises. Update frequency is adjusted based on industry events: temporary special research reports are released during major raw material price fluctuations or real estate policy announcements, while regular category reports are updated on a monthly or quarterly basis. Document structure includes core conclusions, regional market supply and demand data, raw material cost breakdowns, channel research records, and valuation reference modules. Fields include clearly quantified metrics with specified units: report release date, covered subcategories (such as tiles, waterproof membranes, plastic pipes), unit prices (yuan/square meter, yuan/ton), inventory turnover days, and similar metrics.
What constraints these characteristics impose on deployment and upgrade
Multi-source heterogeneous data formats require configuring a universal document parsing plugin during deployment to support multiple research report formats including PDF, Word, and web pages. Non-fixed update frequencies require configuring both scheduled synchronization and event-triggered synchronization modes during deployment, to avoid missing temporary special research reports. Inconsistent field units require enabling the standardization mapping function during knowledge base configuration, to unify unit prices and production capacity data from different sources into standard units. The requirement to retain complex table structures requires adjusting parsing parameters to prevent logical breaks caused by table splitting.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Consumer building materials research reports often contain complex nested tables; 300 seconds covers parsing time for most long documents |
maxContext | 8000–12000 characters | Core argument paragraphs of research reports are lengthy; this range preserves complete supply and demand logic and data support |
RECALL_TOP_N | Top 8 entries | Data for consumer building materials subcategories is scattered across different sections; recalling 8 entries covers multi-dimensional reference information |
SIMILARITY_THRESHOLD | 0.72–0.78 | Industry terminology has high similarity; this range balances relevance and recall coverage |
UPLOAD_FILE_MAX_SIZE | 50 MB | Single in-depth research report PDF files typically do not exceed 50 MB; this threshold avoids blocking the upload queue |
AI_PROXY_URL | Configure using the intranet address of the deployment environment | A stable model call link reduces response latency for research report retrieval |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: A
504 Gateway Timeoutis returned when calling the interface after deployment. Cause: Outbound ports of Alibaba Cloud ECS instances have not been granted full access permissions for data sources, resulting in timeout during multi-source research report synchronization and parsing. - Symptom: The model channel test reports
model not foundafter AIproxy configuration. Cause: The API interface path of the local large model was not correctly mapped to the AIproxy configuration items, and did not match the model call format required for research report retrieval. - Symptom: The reference field returned by the API call is empty. Cause: The recall reference detail switch was not enabled during knowledge base configuration, or the number of recall entries was set too low, so no associated research report fragments were captured.
How to confirm the configuration is complete
- Upload a single typical consumer building materials research report, check if the parsed text retains the table structure and unit fields from the original document, and verify that the parsed result matches the core content of the original document.
- Trigger a knowledge base synchronization task, check if the synchronization log contains success markers for all configured data sources, with no error records.
- Submit a test query, verify that the returned result includes reference fragments from the corresponding research report, and the reference field is not empty.
- Adjust the similarity threshold and number of recall entries, verify that the relevance of the returned results meets business expectations.
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.