What Data Looks Like for This Category
Manufacturers publicly release selection manuals, technical specifications, marketing materials, and after-sales maintenance documents for financial scenarios. These documents form the primary source of marketing-related data for general equipment. Teams adjust updates alongside new product launches and core parameter iterations, with no fixed schedule. Most documents use structured tables paired with paragraph explanations as their main format. Core fields include equipment model, rated power, external dimensions, applicable operating conditions, and supporting accessories. Units follow industrial standards such as kW, mm, kg, and similar.
Constraints for Retrieval and Recall Workflows
These characteristics impose constraints on knowledge base retrieval and recall processes. High proportions of structured parameters force retrieval to balance semantic matching and precise numerical matching. Relying only on fuzzy semantics leads to parameter matching failures. Documents span wide length ranges. Long selection manuals can reach dozens of pages. Short marketing materials only have hundreds of characters. Adaptive chunking rules preserve complete information groups. No fixed update cycle requires incremental synchronization support. This avoids resource waste from full updates. Practitioners in financial scenarios often compare equipment solutions across multiple models for applicable scenarios. Recall results must cover sufficient candidates while filtering irrelevant content. Fixed field units require unified unit conversion logic during retrieval. This prevents matching failures caused by inconsistent units.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall count | Top 8-12 entries | General equipment marketing scenarios often require comparing multiple model solutions. This range provides sufficient candidates while avoiding redundant information interfering with decision-making |
Similarity threshold | 0.75-0.85 | Balances semantic matching and precise association of equipment parameters. A threshold that is too low introduces irrelevant selection content, while a threshold that is too high misses valid documents matching core parameters |
Chunk size | 800-1200 characters | Adapts to the structure of general equipment documents, fully retaining parameter tables and corresponding marketing descriptions for a single model, avoiding slicing that splits critical information |
Rerank result count | Top 4-6 entries | Users in marketing scenarios need to quickly locate matching solutions. Reranking prioritizes results that match both semantics and parameters |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Covers parsing time for large selection manual PDF files, avoiding document parsing failures caused by timeouts |
UPLOAD_FILE_MAX_SIZE | 500 MB | Accommodates complete sets of equipment documentation packages, adapting to batch document upload requirements for multiple model devices |
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. It is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: The
sourcefield is empty in returned results after calling the chat interface, and referenced knowledge base information cannot be located. Cause: Knowledge base reference traceability configuration is not enabled, or the parameter for returning reference details is not specified when calling the interface. - Phenomenon: No matching results are returned for knowledge base retrieval after uploading a scanned PDF. Cause: OCR text recognition configuration is not enabled, so valid text content cannot be extracted from scanned documents.
- Phenomenon: An error prompt pops up when adding a knowledge base, and upload configuration cannot be completed. Cause: The
UPLOAD_FILE_MAX_SIZElimit is not met, or parsing time exceeds thePARSE_FILE_TIMEOUT_SECONDSthreshold, causing upload and parsing failure.
How to Verify Successful Configuration
- Upload a general equipment selection manual PDF, check if the parsed sliced document fully retains parameters and marketing descriptions for a single model, with no critical information split.
- Initiate a simulated retrieval request, verify that returned results include the
sourcefield and corresponding knowledge base identifier, confirming traceability configuration is active. - Adjust the similarity threshold and number of recalled entries, initiate multiple sets of retrieval tests, and verify that matching degree and quantity of returned results meet business expectations.
- Upload scanned equipment marketing materials, check that corresponding content can be normally retrieved after OCR recognition, confirming text extraction configuration is active.
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.