What the data for this category looks like
Sources of specialized equipment research reports include public reports from domestic specialized equipment industry associations, subdivision research reports on the mechanical industry from securities firms, and technical white papers released by equipment manufacturers. Core industry operating data is updated quarterly. New product technical parameters are synchronized immediately upon release. Industry updates are published weekly. Document structure includes fields such as equipment model, rated power, annual production capacity, production process parameters, and downstream application scenario classification. Units include units, kilowatts, ten thousand yuan, operating hours, and others. Single research report text length varies widely. Some in-depth reports can reach tens of thousands of characters.
What constraints do these characteristics impose on multi-turn dialogue and prompting
Multiple heterogeneous research report sources lead to inconsistent field naming. For example, some documents use "rated power" while others use "output power". Multi-turn dialogue must include prompt rules for unified term mapping to avoid information confusion. Frequently updated data requires adding trigger logic for latest data recall in the dialogue flow. This ensures each interaction uses the latest available research report data. The long text structure and multi-parameter fields of single research reports require limiting the context window length in multi-turn dialogue. This prevents the model from processing redundant information. At the same time, prompts must guide the model to focus on the equipment parameter dimensions specified by the user. The diversity of downstream application scenarios means users often need to compare equipment indicators across scenarios. Multi-turn dialogue must support progressive follow-up questions to narrow the parameter comparison scope step by step.
How to configure settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the long text characteristics of specialized equipment research reports, retains sufficient context information while avoiding model context overflow |
recallTopK | Top 6–8 entries | Covers the multi-dimensional parameter requirements of specialized equipment research reports, avoids excessive redundant content interfering with model inference |
similarityThreshold | 0.75–0.85 | Filters low-relevance research report content, ensures the accuracy of specialized equipment parameter retrieval |
ragPromptTemplate | Fixed format: "Please answer using the following research report data: {context}. When answering, prioritize using the most recently updated parameters. If comparing across multiple scenarios, list the indicators for each corresponding scenario one by one." | Adapts to the parameter extraction and scenario comparison scenarios of specialized equipment research reports |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Adapts to the text parsing duration of long research reports, avoids parsing failure due to timeout |
multiRoundPromptSwitch | Enabled | Supports users to ask progressive follow-up questions about equipment parameter details, retains context information for multi-turn interactions |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common configuration mistakes
- Phenomenon: After configuring the prompt for specialized research report retrieval, the model still outputs irrelevant content. Cause: The prompt template does not clearly define the extraction rules for specialized equipment parameters, or the context variable bound to RAG recall is not correctly set.
- Phenomenon: A
408 Request Timeouterror is returned when parsing long research reports. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration value is too low, and does not cover the duration required for long text parsing. - Phenomenon: An existing dialogue application cannot call the research report retrieval plugin. Cause: The plugin's call permissions and parameter mapping are not correctly configured in the application configuration, causing the plugin to fail to link properly.
How to confirm correct configuration
- Upload a specialized equipment research report, trigger retrieval, and check the recalled document list to confirm that the number of recalled entries matches the value range set in the
recallTopKconfiguration. - Initiate a dialogue asking about equipment parameters, then initiate a multi-turn dialogue involving cross-scenario comparison, and confirm that the model retains the equipment model information from the historical dialogue.
- View the preview of the RAG prompt, and confirm that the prompt includes guidance for specialized equipment parameter extraction and scenario comparison.
- Test the parsing process for a single long research report, confirm that no timeout error is triggered during parsing, and verify that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is adapted to the current document length.
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.