What the data for this category looks like
Home goods research report data primarily comes from securities firms’ light manufacturing industry research reports, periodic reports of home goods listed companies, and industry circulation data platforms. The core update cycle is quarterly. Ad-hoc topic updates are triggered alongside major industry events. Single document length and unit settings vary widely. It is recommended to determine values via internal sample statistics or actual testing. Data fields include sales data for sub-categories, channel share, supply chain cost structure, and leading brand updates. Specific fields include "monthly retail sales", "raw material unit price", and "channel share". Percentage labels are not used for these fields.
What constraints do these characteristics impose on deployment and upgrade
The multi-source, multi-format nature of home goods research reports requires the deployment process to support parsing multiple file formats including PDF, Excel, and annual report PDFs. Timeout parameters adapted for long documents must be configured. Single documents have extended length. Context segmentation parameters must be adjusted to cover core content and avoid truncating critical data. Specific unit requirements for segmented fields require configuring metadata extraction rules. This ensures accurate matching of corresponding dimension information during retrieval. Non-fixed update cycles require configuring scheduled synchronization tasks. This adapts to the irregular update schedule of research reports.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Matches the parsing duration of single long-form research reports, prevents task interruption due to mid-run timeout |
maxContext | 8000–12000 characters | Covers core paragraphs of single research reports, preserves complete sub-category data and analytical logic |
RECALL_TOP_K | Top 8 entries | Meets multi-dimensional information needs for home goods research reports, retrieves enough relevant entries to cover sub-categories |
UPLOAD_FILE_MAX_SIZE | 500 MB | Supports upload requirements for bulk research report packages and listed company annual reports |
SYNC_CRON_EXPRESSION | 0 0 2 * * * | Triggers data source synchronization outside business peak hours, does not interfere with daily retrieval usage |
METADATA_EXTRACT_FIELDS | ["monthly retail sales","raw material unit price","channel share"] | Extracts core fields from home goods research reports, provides metadata support for subsequent precise retrieval |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific scenarios require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- When there are many workflow canvas nodes, drag operations experience several seconds of delay. Cause: The deployment is not upgraded to version 4.8.0 or later, which includes workflow performance optimizations, or workflow node cache configuration is not enabled.
- Knowledge base recall results do not match specific fields from home goods research reports, leading to insufficient answer accuracy. Cause: Metadata extraction rules are not configured, or the number of recalled entries is too low to cover relevant sub-category data.
- Deployment via Docker fails to start, with error
standard_init_linux.go:228: exec user process caused: no such file or directory. Cause: An incompatible server operating system was selected, and a compatible Linux distribution was not used.
How to confirm the configuration is correct
- Upload a single 30-page home goods research report PDF, check whether the parsing task completes within the time set by
PARSE_FILE_TIMEOUT_SECONDS. - Initiate a retrieval query including "2024 home goods retail sales", check whether matching metadata fields are included in the recall results.
- After configuring the scheduled synchronization task, check whether the data source synchronization log automatically triggers according to the set cycle.
- Run a multi-node workflow test, check whether operation delays meet expected standards.
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.