What Data for This Category Looks Like
The data sources for small home appliance research reports primarily include public reports from home appliance industry associations, sales monitoring data from e-commerce platforms, official brand product manuals, and compliance certification documents. Update schedules adjust based on new product launches and quarterly sales reviews. There is no fixed cycle, but core parameter documents are updated every quarter. Most document structures split into product parameter modules, market performance modules, and user feedback modules. Fields include rated power (unit: watt), energy efficiency rating, price range, and certification number. Some research reports include competitor comparison tables. Some regional data marks applicable regional voltage standards.
Constraints Imposed by These Characteristics on Citation Source and Traceability
The scattered, multi-format nature of small home appliance research report data creates multiple constraints for citation traceability. The split multi-module document structure requires precise binding of fragment content to its belonging module during traceability. This avoids mixing parameters and market data across chapters. Differences in document formats from various sources require adapting different traceability rules for PDF text parsing, CSV field mapping, and JSON structure reading. This ensures accurate source identification. Regionalized voltage and certification fields require additional applicable scenario markings in traceability information. This prevents cross-region citation errors. The non-fixed update cycle requires carrying document update time in traceability metadata. This ensures the latest version content is cited. The presence of competitor comparison tables requires clear marking of the research report and chapter the table belongs to. This avoids mixing competitor data from different reports.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
RECALL_TOP_K | Top 10 results | Small home appliance research report recall fragments are mostly scattered parameters and market snippets. The top 10 results cover core competitor comparisons and parameter modules, avoiding missing key traceability information |
SIMILARITY_THRESHOLD | 0.75–0.85 | Semantic similarity between small home appliance parameter fields is relatively high. This range filters irrelevant competitor data while retaining associated fragments of the same product model |
PARSE_SEGMENT_LENGTH | 800–1200 characters | Single-chapter content of small home appliance research reports is mostly around 1000 characters. This segment length preserves complete parameter or market analysis modules, making it easier to locate full chapters during traceability |
SOURCE_META_FIELDS | ["doc_title", "update_time", "section_name"] | Requires carrying document title, update time, and section name to match the traceability constraints of small home appliance research reports, and clearly identify data sources and versions |
UPLOAD_FILE_MAX_SIZE | 200 MB | Some small home appliance research reports contain large numbers of high-resolution product images and sales data tables. This upper limit accommodates complete bulk import documents |
MODEL_API_TIMEOUT | 600 seconds | Parsing and retrieval of small home appliance research reports requires processing multi-format data. This duration avoids timeout errors caused by excessively long parsing times |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and testing on relevant samples is recommended before finalizing settings.
Three Common Configuration Mistakes
- Issue: In FastGPT 4.8.20 and later versions, after importing JSON-format small home appliance product parameter files, question-answer pair generation results are empty, and only original text fragments are retained. Cause: The
JSON_PARSE_ENABLEparameter is not configured to enabled, and structured JSON document parsing rules are not activated. - Issue: In the workspace knowledge base simple application, only 1 document citation is returned per retrieval, and multi-source research report data cannot be displayed. Cause: The
RECALL_TOP_Kparameter is not adjusted to a reasonable range. The default recall count is too low to cover multi-module data from small home appliance research reports. - Issue: After configuring access to an external model, clicking test triggers a timeout error, but normal operation can be performed after forcibly ignoring the error. Cause: The
MODEL_API_TIMEOUTparameter is not configured to a duration adapted to small home appliance research report parsing. The test request timeout is blocked, but the timeout threshold is relaxed for formal calls.
How to Confirm Configurations Are Properly Set
- Upload a small home appliance product parameter JSON document. Check if parsed segments retain complete field and unit information, and confirm that metadata configured in
SOURCE_META_FIELDShas been correctly extracted. - Initiate a research report retrieval request. Check if the returned result citation list includes multiple document fragments, and confirm that configurations for
RECALL_TOP_KandRERANK_TOP_Nhave taken effect. - Import a research report PDF with an update time. Check if citation traceability information carries the document's update time field, and confirm that metadata extraction rules have been correctly configured.
- Initiate a test request. Check if a timeout error occurs, and confirm that the
MODEL_API_TIMEOUTparameter value is adapted to the current parsing and retrieval workflow.
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.