What data looks like for this category
Data for specialized equipment intelligent due diligence reports comes primarily from three types of sources: equipment factory certificates, quarterly operation and maintenance logs, and annual calibration reports. Data update rhythms fall into two categories: static and dynamic. Factory model and manufacturer information are static data, updated only when equipment is scrapped. Operation duration and calibration parameters are dynamic data, updated quarterly or annually. The document structure is primarily structured entries, including fields such as equipment number, model, rated speed, working pressure, cumulative operating hours, and more. Field units mostly use specialized measurement standards such as revolutions per minute, megapascals, hours, and others. A single equipment due diligence support document typically contains 15 to 20 parameter entries.
What constraints do these characteristics impose on the "citation sources and traceability" link
The multi-source and decentralized nature of specialized equipment data requires the traceability link to simultaneously associate three types of knowledge bases: factory certificates, operation and maintenance logs, and calibration reports, to avoid missing parameters from a single source. The difference in update rhythms between static and dynamic data requires that collection times for corresponding data be marked during traceability to ensure the timeliness of due diligence conclusions. The precision requirements for specialized fields and units require that traceability be matched to specific parameter entries; matching to an entire document will result in parameters not corresponding to their sources. The dense concentration of parameter entries in a single document requires that traceability anchors be precise to the paragraph level to avoid confusion across entries.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 8–12 entries | Specialized equipment due diligence data fields are scattered, so enough associated entries must be recalled to cover all parameter traceability needs |
similarity threshold | 0.72–0.85 | Specialized equipment models and parameter descriptions are precise, so a higher threshold is needed to avoid matching documents from unrelated equipment of the same model |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single calibration reports and operation and maintenance logs contain multi-page parameter records, so sufficient parsing time is required to complete chunking |
chunk length | 600–800 characters | Specialized equipment parameters are mostly short entries; overly long chunk lengths will reduce traceability positioning accuracy |
citation source toggle | Enabled | Specific document types and specific parameter entries from which parameters originate must be clearly marked |
MAX_KNOWLEDGE_BASE_RELATED | No more than 5 per conversation | Specialized equipment due diligence requires association with multiple types of knowledge bases, so overload that causes recall failure must be avoided |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Output content does not include source identifiers, making it impossible to confirm whether it comes from the configured knowledge base. This occurs because the
citation source toggleis not enabled, and the system does not automatically append source document and parameter entry markers. - Traceability cannot locate specific parameter entries in a document. This occurs because
chunk lengthis set to more than 1000 characters, which merges different parameter entries during parsing and blurs traceability anchors. - A prompt for excessive knowledge base associations appears when starting a conversation. This occurs because the number of knowledge bases associated in a single conversation exceeds the configured value of
MAX_KNOWLEDGE_BASE_RELATED, and the system returns a 400 status code to intercept the request.
How to confirm the configuration is complete
- Initiate a query that includes a specialized equipment model and specific parameters, and check whether the end of the reply includes markers for the source document name and corresponding parameter fields.
- View the parsing task list in the knowledge base backend, confirm that documents such as specialized equipment certificates and operation and maintenance logs have completed chunked parsing, and there are no parsing failure logs.
- Temporarily adjust
recall countto 3, initiate the same query, and confirm that the number of returned associated entries matches the configured value. - Try to associate more than the configured number of knowledge bases in a single conversation, and confirm whether the system returns the corresponding over-limit prompt.
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.