What the data for this category looks like
Cement research report data mainly comes from the China Building Materials Federation, urban and rural construction departments of various provinces and municipalities, regular reports of listed cement enterprises, and professional building materials consulting institutions. The update schedule for public research reports is as follows: weekly updates of regional cement price data, monthly updates of national industry operation aggregate data, quarterly release of supply and demand balance analysis reports, and annual updates of industrial planning related content. Typical document structures include core conclusions, industry overview, segmented regional markets, cost analysis, policy updates, enterprise updates, and market outlook. Core fields include cement output (unit: 10,000 tons), P.O42.5 cement price (unit: yuan/ton), and key enterprise inventory (unit: 10,000 tons). Each public research report typically ranges from 3,000 to 8,000 words in length.
What constraints these characteristics impose on tool calling and plugins
The high-frequency update nature of cement research reports requires tool calling to support incremental synchronization mechanisms, to avoid resource waste and delays caused by full-scale pulling. The clear unit attributes of fields require plugins to include built-in unit verification logic, to prevent confusion between price and output data of different cement specifications during retrieval. The structured characteristics of multiple fields require recall plugins to support filtering by specific fields, combined with keyword matching to achieve precise recall. The relatively long length of individual research reports requires tool calling to adapt to long document processing, to avoid core information loss caused by context truncation. The segmented regional distribution of research report data requires plugins to support cross-regional data aggregation, to meet multi-scenario retrieval needs.
Configuration Settings
The following table lists recommended configuration values and their rationales:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
rag_recall_top_k | Top 10-15 entries | Cement research reports have many segmented fields. Too many recall results will cause context overload, while too few will miss key regional data |
file_parse_chunk_size | 800-1200 characters | The core data paragraphs of individual cement research reports are mostly modules of around 800 words. Excessively long paragraph segmentation will lose context association |
plugin_request_timeout | 300 seconds | When pulling cross-regional cement research reports in batches, the data interface has high return latency. An overly short timeout will cause some research reports to fail to load |
rag_similarity_threshold | 0.75-0.85 | Cement industry terminology has high semantic similarity. A threshold that is too low will introduce irrelevant research reports, while a threshold that is too high will miss relevant content |
incremental_sync_interval | Every 7 days | Public cement research report price data is updated weekly. Incremental synchronization reduces resource consumption from repeated pulling |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to conduct tests on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Tool calls return the
ETIMEDOUTstatus code, and the elapsed time exceeds 600 seconds. Cause: Theplugin_request_timeoutvalue is not adjusted to fit cement research report batch pulling, and the default timeout duration is insufficient. - Phenomenon: After configuring a database connection plugin, retrieving cement research reports returns a
column not founderror. Cause: Database mapping rules are not configured for the specific fields of cement research reports, such ascement_price_ton, causing the plugin to fail to recognize target data fields. - Phenomenon: Recalled research reports contain content from other building material categories. Cause: The
rag_similarity_thresholdis not set to the range matching the semantic characteristics of cement industry terminology. An overly low threshold causes irrelevant content to be recalled.
How to Verify Successful Configuration
- Execute a single tool call, check if the returned research report data includes cement-specific fields, and verify that the field units meet expectations.
- Trigger an incremental synchronization task, check if the synchronization log only includes research reports updated within the preset cycle, with no duplicate pulled historical data.
- Test recall results with different similarity thresholds, confirm that all returned content focuses on the cement industry, with no research reports from unrelated categories.
- Simulate batch pulling of multi-regional research reports, check if tool calls complete within the preset timeout duration, with no timeout errors.
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.