What the data for this category looks like
The relevant data for black home appliance intelligent due diligence reports comes primarily from official brand product specifications, national energy efficiency test reports, after-sales maintenance manuals, and industry compliance certification documents. It is used for scenarios such as supply chain due diligence and insurance underwriting for financial institutions. Update frequency fluctuates with new product launch cycles, with no fixed schedule. Bulk data additions occur when new products launch. Document structure centers on product models, and includes three types of content: parameter fields, compliance identifiers, and after-sales terms. Parameter fields cover rated power (unit: watt), external dimensions (unit: millimeter), energy efficiency rating, launch date, and more. Some documents include certification numbers and maintenance period descriptions.
What constraints these characteristics impose on the "knowledge base retrieval and recall" link
Multiple data sources mean indexes must support different document structures. Cross-format parsing rules must be configured to adapt to the multi-source data requirements of due diligence reports. Non-fixed update cycles require indexes to support incremental synchronization, to avoid full parsing that consumes resources of due diligence systems. The model-centric document structure requires retrieval to prioritize matching model fields, to avoid vague recall of irrelevant model content that reduces due diligence report accuracy. Parameter fields have clear units, so unit normalization rules must be configured to prevent due diligence parameter deviations caused by unit conversion errors.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_CHUNK_SIZE | 800–1200 characters | Black home appliance product documents contain continuous parameter paragraphs. This segment length preserves associated parameter context and avoids fragmentation |
Recall count | Top 6–8 results | A single due diligence report needs to cover multiple model parameters. This quantity balances recall comprehensiveness and result redundancy |
SIMILARITY_THRESHOLD | 0.75–0.85 | Parameters of the same brand and model for black home appliances have high similarity. This threshold filters irrelevant recall results |
UPLOAD_INCREMENTAL_SYNC | Enabled | Update frequency for new black home appliance products is unstable. Incremental synchronization reduces resource consumption from full index rebuilding |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large product manuals and compliance documents take longer to parse. This timeout prevents mid-process interruptions |
REFERENCE_FIELD_MATCH | Enabled | Black home appliance documents include clear model and parameter fields. Field matching improves precise recall effectiveness |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test against your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After importing black home appliance product documents, irrelevant warranty terms or advertising content is included in the index, and target parameter fields cannot be retained exclusively. Cause: No custom extraction rules for document parsing are configured. The default parsing crawls full document content.
- Phenomenon: In version 4.8.14, after adjusting the
maxContextparameter, chat context fails to properly associate retrieval results, and responses include historical content unrelated to the current query. Cause: Retrieved results are not bound to conversation history, so the system prioritizes older retrieved content. - Phenomenon: A
504 Gateway Timeouterror occurs when parsing large product manuals, and the parsing task fails. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is set too short to complete the large document parsing process.
How to confirm configurations are correct
- Upload a single black home appliance product manual, check the parsed segmented content, and confirm that custom extracted fields are correctly split.
- Initiate a query that includes specific models and parameters, verify that the number of recall results matches the
Recall countsetting, and that similarity meets expected standards. - Trigger an incremental synchronization task, confirm that only newly added documents are included in the index, and that no full re-parsing is triggered.
- Export the knowledge base metadata, confirm that the file name list is generated and can be downloaded normally.
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.