Data Characteristics
Imaging equipment data originates from manufacturer product specifications, technical white papers, user manuals, and clinical application guidelines. These documents are typically in PDF format. Content includes device models, technical parameters, performance indicators, operating procedures, maintenance, and troubleshooting. Data updates are infrequent, usually coinciding with product model iterations or major software releases. Document structures are standardized, often using section headings, lists, and tables. Common fields include model, serial number, scan mode, resolution, imaging principle, radiation dose, detector type, power, dimensions, and weight. Units involve Millimeters (mm), Kilovolt (kV), Milliampere (mA), Tesla (T), Frame per second (fps), and Joule (J).
Constraints on Forms and Interaction
The standardized structure of imaging equipment documentation enables efficient knowledge chunking based on sections and headings, improving recall precision. Low update frequency reduces knowledge base synchronization pressure, but historical version management and differential comparison become important considerations. The specialized nature of fields and units requires precise input format validation and unit prompts in form design to prevent user input errors or confusion. For example, the radiation dose field must specify whether it is mGy or mSv. The complexity of device models and potential multiple configuration options necessitate multi-level, cascaded selection forms in interaction design. This guides users to progressively narrow down choices and quickly locate specific products or parameters. Real-time validation with external databases may be required for critical technical parameters to ensure the validity of user-consulted data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk size (Chunk Size) | 500–800 characters (characters) | Imaging equipment document paragraphs are often long, containing detailed technical descriptions. Shorter chunks risk losing context; longer chunks introduce irrelevant information. |
Recall count (Recall Count) | Top 5–8 entries (top 5–8) | Complex technical queries often require combining multiple knowledge fragments to ensure comprehensive information coverage. |
Similarity threshold (Similarity Threshold) | 0.78–0.85 | Imaging equipment parameter descriptions are precise. A higher similarity threshold filters for more closely matching technical details. |
Rerank result count (Rerank Return Count) | Top 3 entries (top 3) | After reranking, the top few most relevant pieces of information typically address the user's core needs. |
maxContext | 4096 tokens | Ensures sufficient context length for user queries, key recalled knowledge, and model-generated responses. |
QUERY_MAX_LENGTH | 128 characters (characters) | Limits user query length, encouraging more focused questions and reducing vague queries. |
Common Pitfalls
- After form submission, the system displays "
Parameter format error：radiation dose" (Parameter format error: Radiation Dose). This occurs if the user enters "100" without specifying units or if the unit does not match expectations. - After selecting a device model, the associated
scan modedropdown list is empty. This happens if the model's scan mode data is not correctly linked or indexed in the knowledge base. - The model's response contains a parameter value that does not match the actual product. This is due to outdated product manuals in the knowledge base that were not updated, leading to the recall of obsolete data.
Verification Steps
- Simulate queries for various device models. Check if cascaded form selections correctly load all associated parameters.
- Ask questions about different technical parameters. Verify that unit values in the model's responses are accurate and consistent with original documentation.
- Submit queries containing typos or vague descriptions. Observe the quality and ranking of recall results to assess if the recall count and similarity threshold are appropriate.
The values provided are common starting points. Measure them against your own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.