What the data for this category looks like
The data sources for consumer construction materials include supply and demand monitoring data publicly released by industry associations, regular operating reports disclosed by listed companies, spot price information of upstream raw materials, regional bidding project documents, and dealer research summaries. Data update cycles vary by source. Industry association reports are updated monthly. Annual reports of enterprises are updated annually. Raw material prices are updated daily. Most documents use structured tables as their primary format, with fields such as product model, performance parameters, regional sales volume, and price range. Some supporting policy documents use plain text format. Fields and units follow clear specifications. Performance parameters mostly use megapascals (MPa) and millimeters (mm) as units. Price-related fields use yuan per square meter and yuan per ton as units. Regional data is marked at the provincial or municipal level.
Constraints imposed on retrieval and recall
The data characteristics of this category impose multiple constraints on the retrieval and recall process. First, structured tables account for a high proportion of the data. Conventional text chunking easily breaks the association between parameters. Targeted measures must be taken to retain the complete structure of tables or extract field association relationships. Otherwise, recall results will lose the corresponding relationships between key parameters. Second, data from multiple sources has widely varying update cycles. When performing incremental synchronization, update timestamps must be tagged by source. This prevents expired old price data from being mixed with latest supply and demand data in recall results. Third, fields and units have detailed specifications. The same indicator may use different unit expressions across documents. Unit unified mapping must be completed during the preprocessing stage. Otherwise, retrieval will miss relevant results due to unit mismatches. Fourth, regional data accounts for a high proportion. Retrieval must match regional dimension parameters. Otherwise, recall results will not cover the investment research needs of specific regions.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Structured tables account for a high proportion of consumer construction materials documents. Enabling this setting retains complete table fields and their association relationships, avoiding parameter fragmentation from chunking. |
CHUNK_SIZE | 800–1200 characters | Consumer construction materials documents include long paragraphs of supply and demand analysis and parameter lists. This range balances content completeness and retrieval accuracy. |
UPLOAD_INCREMENTAL_SYNC | Enabled per source | Different data sources have different update cycles. Grouped incremental synchronization avoids full repeated updates, adapting to the characteristics of multiple data sources. |
SIMILARITY_THRESHOLD | 0.75–0.85 | Parameter-based retrieval for investment research has high precision requirements. This threshold filters low-relevance non-parameter content. |
RECALL_TOP_K | Top 6 results | Investment research scenarios require coverage of multi-dimensional parameters and competitor information. 6 recall results balance comprehensiveness and retrieval efficiency. |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test against local samples before finalizing settings.
Three Common Mistakes
- After importing a Markdown file containing local image links, no corresponding images are displayed in retrieval results. Cause: The knowledge base only supports image links from online image beds. Local file paths cannot be recognized by the system or synchronized to storage nodes.
- The exported knowledge base file size is only hundreds of KB, and a large amount of document content is missing. Cause: The export operation was triggered before full document parsing was completed, or a filter rule for exporting only specified chunks was configured. This results in only partial metadata being returned.
- After calling the knowledge base chunk addition interface via API, retrieval results do not match the newly added construction material parameter content. Cause: The correct chunk field mapping rule was not specified in the API request, so the newly added content was not included in the retrieval index.
How to Verify Correct Configuration
- Upload a consumer construction materials product document containing structured tables, and check whether retrieval results retain complete table fields and their association relationships.
- Trigger an incremental synchronization operation, and verify that the synchronization log only marks newly added or updated documents, and does not repeatedly process historical data.
- Initiate a retrieval for building material prices in a specific region, and verify that recall results match the specified region and price unit.
- Call the knowledge base export interface, and verify that the exported file size matches the total size of the original documents, with no obvious content missing.
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.