Deployment and Upgrade for Black Home Appliance Intelligent Due Diligence Reports

Data for black home appliance intelligent due diligence reports comes primarily from home appliance manufacturers' SKU management systems, compliance

Data Profile for This Category

Data for black home appliance intelligent due diligence reports comes primarily from home appliance manufacturers' SKU management systems, compliance reports from national energy efficiency testing agencies, after-sales operation and maintenance databases, and product detail pages on e-commerce platforms. Update triggers include new product launches, adjustments to compliance standards, or aggregation of after-sales data. There is no fixed update cycle, but single update volumes are large. Each due diligence document typically includes structured fields such as SKU code, model, rated power (unit: W), energy efficiency rating, certification number, 12-month after-sales failure rate, and core component parameters. Some documents include long-text attachments for product disassembly and compliance testing.

Constraints Imposed on Deployment and Upgrade

Due diligence data for black home appliances has large single-update volumes, and includes both structured fields and long-text attachments. During deployment, batch processing thresholds for vector ingestion must be adjusted to avoid single-index timeouts. Multi-dimensional structured fields require parsing rules that match specific unit-bearing fields such as rated power and energy efficiency rating. General parsing templates cannot cover all field types. Long-text attachments from compliance reports require separate configuration of segmentation parameters to avoid truncating critical compliance information. During upgrade, compatibility must be maintained for newly added SKU fields and updated compliance standards. Configuration entrances for field expansion must be reserved, while full re-indexing that causes service interruptions must be avoided.

Configuration Settings

Configuration ItemRecommended RangeRationale
PARSE_FILE_TIMEOUT_SECONDS300–600 secondsAdapt to parsing time of long-text compliance reports, avoid timeout interruptions
BATCH_INSERT_SIZE500–1000 entriesMatch hundreds of thousands of data volume per single update, balance indexing efficiency and memory usage
FIELD_MATCH_RULEPrecise matching by SKU code + modelAvoid parsing errors in structured fields, adapt to the multi-SKU characteristics of black home appliances
RECALL_TOP_KTop 8–12 entriesCover multi-dimensional parameters required for due diligence reports, avoid insufficient recall
SIMILARITY_THRESHOLD0.75–0.85Filter low-correlation after-sales data and compliance documents, ensure accuracy of due diligence results
UPLOAD_FILE_MAX_SIZE2000 MBAdapt to upload requirements for large-scale compliance testing reports
VECTOR_DB_CONN_STRINGFill in static connection addressAdapt to local deployment mode of PGSQL vector database, avoid connection failure after container restart

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

  • Phenomenon: The web interface cannot trigger vector search, returns empty results or 404 status code. Cause: The static container address of oneAPI is not configured in the environment variable. Dynamic IP changes after container restart cause connection interruptions.
  • Phenomenon: Frequent timeout errors occur when batch indexing hundreds of thousands of entries. Cause: The PARSE_FILE_TIMEOUT_SECONDS and BATCH_INSERT_SIZE parameters are not adjusted. Default configurations cannot adapt to large-volume documents and data volumes of black home appliances.
  • Phenomenon: Parsed structured fields lack unit information such as rated power and energy efficiency rating. Cause: The unit matching rule of FIELD_MATCH_RULE is not configured. General parsing templates cannot recognize black home appliance-specific fields with units.

How to Verify Correct Configuration

  • For version V4.8.20-FIX2, enter the vector database management interface, perform a batch indexing test, check whether the indexing progress bar advances normally and there are no timeout errors.
  • Initiate a search test for black home appliance SKUs, verify that returned result fields include exclusive parameters such as rated power and energy efficiency rating.
  • After restarting the oneAPI container, access the connection detection interface of the web interface, confirm that the connection status is normal.
  • Upload a compliance testing report, check whether the parsed text retains key information such as certification number and testing conclusion in full.

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.