What the data for this category looks like
Specialized equipment investment research data primarily comes from original equipment manufacturer (OEM) technical manuals, third-party testing institution reports, equipment operation and maintenance logs, industry patent documents, and supply chain quotation archives. Update rhythms vary significantly across sources: OEM manuals are updated quarterly, operation and maintenance logs are generated in real time, and patent documents are published irregularly.
Each individual document structure includes equipment model parameter tables, fault code comparison tables, performance curve charts, and compliance certification attachments. Core fields include rated power (unit: kW), operating speed (unit: rpm), cumulative service life (unit: hours), and regular maintenance cycle (unit: days). Some documents include multi-dimensional test data and working condition parameters.
Constraints on multi-turn dialogue and prompting
The multi-dimensional fields, differentiated update rhythms, and structured document features of specialized equipment investment research data impose multiple constraints on multi-turn dialogue and prompting configuration.
First, core parameters include multiple types of quantitative indicators with units. Prompts must explicitly require the model to attach corresponding units when citing data, to avoid confusion between parameters of different equipment. Second, different data sources have distinct update frequencies. Multi-turn dialogue must support dynamic association of the current session's equipment type, limiting retrieval scope to the knowledge base slice for the corresponding category. Additionally, individual documents contain charts and comparison table structures. Multi-turn dialogue must retain context association to prevent loss of the parameter benchmark corresponding to the equipment model during cross-turn question and answer.
How to configure the settings
The following table outlines recommended configuration values and their rationales:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Specialized equipment investment research documents are mostly long texts, requiring sufficient context to retain cross-turn equipment model and parameter associations |
retrieval_top_k | Top 10 entries | Specialized equipment has multiple parameter dimensions, requiring sufficient retrieved entries to cover quantitative data for different working conditions |
similarity_threshold | 0.75–0.85 | Filter low-relevance non-specialized equipment documents to avoid confusion between parameters of different models in the same category |
rerank_top_n | Top 5 entries | Focus on the most matching equipment parameters for the current session, reducing redundant information interference |
variable_persist_mode | Global persistence | Support storing global variables such as equipment model and working condition parameters across sessions, avoiding repeated input |
knowledge_base_refresh_interval | 7 days | Adapt to the quarterly update rhythm of OEM manuals, regularly refresh the knowledge base to obtain the latest version parameters |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Phenomenon: Parameter error is returned when calling knowledge base variables, with a prompt indicating the
kb_idformat is invalid. Cause: A valid knowledge base ID string was not passed according to configuration item requirements, or the variable binding was not associated with the corresponding specialized equipment knowledge base. - Phenomenon: Unstable retrieval results in the same session, with no knowledge base content returned in some rounds. Cause: No mandatory retrieval trigger rule was set, or the session context was too long, causing the retrieval threshold to be automatically adjusted.
- Phenomenon: Retrieval timeout occurs in the later stage of multi-turn sessions, with duration exceeding 60 seconds. Cause: The number of documents retrieved per round was not limited, and session context cropping was not enabled, causing each retrieval to load the full knowledge base data.
How to confirm correct configuration
- Initiate a test session with multi-turn equipment parameter inquiries, check if each reply includes the corresponding parameter's unit, and confirm that context association is correct.
- Manually adjust the values of configuration items, verify that the relevance and quantity of retrieval results change as expected with configuration adjustments.
- Check the variable storage function: set global parameters in a session, then initiate a new session to confirm that the parameters are retained.
- View retrieval logs, confirm that knowledge base retrieval is triggered for each conversation, and the number of returned results meets the configuration requirements.
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.