What the data for this category looks like
General equipment research report data primarily comes from securities firm machinery industry research reports, public industry association reports, and periodic announcements from listed companies. Update frequency is triggered by industry events. Update rates increase during new product launches, industry prosperity data releases, and earnings report disclosure periods. Document structures typically include core equipment parameters, market supply and demand data, competitor comparisons, and policy impact analysis. Fields include report publishing institution, publication date, equipment model, core parameter values, corresponding units, investment ratings, and some reports include structured extraction fields for chart data.
What constraints these characteristics impose on HTTP interfaces and external systems
Structured parameter and unit fields from multiple sources require interfaces to support exact parameter matching, unit validation, and cross-unit conversion. Update frequencies that fluctuate with industry events require external systems to support incremental pulling and flexible scheduling for timed triggers. Document structures that include long-text analysis and structured chart data require interfaces to support paginated returns and multi-format data extraction. Multi-dimensional filter fields such as publishing institution and equipment model require interfaces to provide fine-grained parameterized query capabilities to avoid invalid data transmission.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
rag_recall_top_k | Top 8-12 entries | Parameters and analysis content in general equipment research reports have strong relevance. Too many recalled entries introduce irrelevant information, while too few fail to cover core retrieval requirements. |
rag_chunk_size | 800-1200 characters | Core parameter paragraphs in general equipment research reports are mostly short paragraphs. Long-text analysis sections must retain contextual association after splitting to avoid breaking apart parameters and analysis content. |
http_request_timeout | 600 seconds | Some research reports contain large amounts of structured chart data, which takes significant time to extract and convert. A too-short timeout will interrupt incomplete requests. |
parse_field_whitelist | Issuing Organization, Release Date, Equipment Model, Rated Power, Rotational Speed | Core retrieval dimensions for general equipment research reports are equipment-related parameters and publication information. A whitelist filters irrelevant fields to improve retrieval accuracy. |
rag_similarity_threshold | 0.75-0.85 | Parameter matching for general equipment research reports requires high precision. A threshold that is too low introduces low-relevance content, while a threshold that is too high fails to retrieve relevant analysis paragraphs. |
api_response_format | Structured JSON | External system integration requires a standardized format to facilitate subsequent data parsing and storage. |
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 individual analysis, and testing against local samples is recommended before finalizing settings.
Three Common Configuration Mistakes
- Symptom: A red numeric error is returned when calling the external interface, with a status code of 400 or 500. Cause: External system authentication parameters are not configured correctly, or a valid API key is not included in the request header.
- Symptom: A large number of irrelevant non-general equipment research report content appears in retrieval results. Cause: The
parse_field_whitelistfilter for irrelevant fields is not configured, or the number of recalled entries is set too high, introducing low-relevance content. - Symptom: Interface calls time out, returning an
ETIMEDOUTerror. Cause: Thehttp_request_timeoutsetting is too short, without accounting for the extraction time of structured chart data in general equipment research reports.
How to Verify Proper Configuration
- A test request including an equipment model and publication date range is submitted. Returned results are verified to only contain general equipment-related research reports, and fields include the preset whitelist content.
- Parameter fields in the interface response are checked. Unit formats are confirmed to match the preset target units, with no confusion or missing values.
- Batch requests are simulated. Interface response times are verified to meet business expectations, with no timeouts occurring.
- After integration with an external system, data stored in the external system is confirmed to exactly match the structured data returned by the interface, with no format 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.