What Data for This Category Includes
This category of data includes fixture requirement documents, positioning datum schemes, fixture drawings, gauge operation manuals, acceptance reports, calibration records, and change histories. Data sources include product 3D models and GD&T, process routes, coordinate measuring machine data, on-site trial feedback, and metrology systems. Updates are carried out per individual project, triggered by each product change, and executed during regular calibration cycles. Data fields include positioning datum parameters, clamping scheme details, measurement tolerance values, calibration validity periods, and more. The size of a single document fluctuates based on project complexity.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The multi-source and heterogeneous nature of this category of data requires that multi-turn dialogue accurately associate context fragments corresponding to specific document types, and avoid confusing content related to fixture design and gauge calibration. Following the update rhythm of projects and changes, dialogue context must automatically identify and filter expired calibration records and pre-change positioning schemes. The presence of professional fields such as GD&T tolerances and coordinate measuring machine measurement values requires that prompt words consistently reference standard-formatted parameter descriptions to prevent parameter misalignment. The size of a single document fluctuates based on project complexity, so the context carrying capacity of multi-turn dialogue must adapt to document scales across different scenarios, and avoid exceeding processing limits.
Configuration Settings
The following configurations are based on the functional logic of FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Context Retention Count | First 10 dialogues | Data for this category is associated per individual project; the first 10 dialogues cover core requirements, positioning schemes, and change histories |
variables Binding | Bind GD&T tolerance values, calibration record numbers | This category of data includes professional engineering fields, and variables must be used to consistently reference standard-formatted parameter content |
chatId Binding | Bind per project unique ID | The characteristic of data being updated per project allows project IDs to accurately isolate dialogue contexts across different fixture projects |
| Prompt Template | Consistently reference the "positioning datum scheme" and "coordinate measuring machine measurement data" fields | This category requires precise matching of professional document fields to avoid parameter misalignment or descriptive deviation |
| Single Dialogue Response Timeout | 600 seconds | This category requires handling complex interference verification and calibration calculations, so the timeout threshold must accommodate professional computation durations |
| Document Chunking Granularity | Chunk by single document type | This category includes multiple document types such as drawings and reports; chunking by type improves context association accuracy |
Three Common Misconfigurations
- Symptom: Multi-turn dialogue can only retrieve the content of the current question, and cannot associate context from prior questions. Cause: The
messagesparameter or context retention count is not configured correctly, resulting in incomplete loading of dialogue history. - Symptom: Dialogue response time exceeds 600 seconds, and background call grouping shows 1 group. Cause: The timeout threshold adapted to professional calculations is not configured, or project-related coordinate measuring machine data and interference verification data are not bound, causing the model to repeatedly retrieve invalid content.
- Symptom: A configuration error prompt pops up after adding a database connection plugin, and data cannot be called normally. Cause: Database query conditions are not configured in accordance with the field format of this category of data, or correct project ID filtering parameters are not bound, causing the plugin to fail to match database content for the corresponding fixture project.
How to Verify Successful Configuration
- A test question associated with a prior question is submitted, and the dialogue context is checked for inclusion of content from the prior question.
- A test question containing professional engineering fields is submitted, and the model output is checked for correct reference to the bound
variablesparameter content. - A test request involving complex calculations is triggered, and the response time is checked against the preset timeout threshold setting.
- A database connection plugin call is tested, and whether the fixture data content for the corresponding project is returned correctly is verified.
The values provided are common starting points and should be validated against in-house sample data.