What this category of data looks like
Home goods investment research data primarily comes from publicly available statistical materials from industry associations, official product manuals from brand owners, SKU snapshots from cross-border e-commerce platforms, and customs import and export declaration data. Update cycles vary. Industry compliance data is updated quarterly. Product SKU and pricing data is synchronized weekly. New products are added within 24 hours of launch. Most documents combine structured tables and long-form text, with fields including product codes, material compositions, factory suggested retail prices, supply chain production capacity, compliance certification numbers, and others. Units include CNY per item, ten thousand sets per year, and similar units.
What constraints do these characteristics place on database and operations work
Multiple data sources and differing update cycles require splitting storage for different data types, to avoid excessive operational load from full synchronization. Frequently updated SKU data needs incremental synchronization mechanisms to reduce resource consumption from full pulls. Strong validation requirements for structured fields require configuring field format rules at the database level to prevent invalid data from being written. Mixed storage of long-form industry reports and structured SKU data requires targeted indexing, covering frequently queried fields such as product codes and compliance certification numbers, to improve query efficiency.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
incremental sync interval | 12 hours | Aligns with the weekly update cycle of home goods SKU data, avoids excessive resource usage from overly frequent synchronization, while maintaining data timeliness |
recall count | top 12 entries | Home goods investment research needs to cover multi-dimensional SKUs and industry reports. Too many recalled entries increase reranking pressure. 12 entries balances recall scope and performance |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Long-form industry reports take longer to parse; 600 seconds prevents timeout interruptions |
similarity threshold | 0.72–0.78 | Precise matching is required for home goods competitor benchmarking queries. A threshold that is too low introduces irrelevant data, while a threshold that is too high misses valid benchmarking information. Calibrated based on actual testing |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Some customs import and export data documents have large file sizes; this value supports complete uploads |
reranked return count | top 5 entries | Final investment research reports need concise, valid information. 5 entries balances comprehensiveness and readability |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: After enabling question optimization and result reranking functions, the return time for a single investment research query exceeds 30 seconds. Cause: The values for
recall countandreranked return countwere not adjusted. Too many recalled documents cause excessive resource usage for reranking calculations. - Issue: In a local deployment environment, clicking the create database button triggers a
database connection failederror. Cause: Connection addresses and authentication parameters for the trusted database were not configured correctly, or the listening port for the database service was not opened. - Issue: Multiple retrieval requests are triggered simultaneously during tool selection, and duplicate entries appear in return results. Cause: Mutual exclusion logic for tool calls was not configured. A single conversation allows multiple parallel retrieval tasks to be initiated at the same time.
How to confirm the configuration is correct
- Run a simulated investment research query, check that the document update times in the return results match the release cycle of current home goods industry reports, to confirm the incremental synchronization configuration is active.
- Upload a customs data document with a size exceeding 1000 MB, confirm the upload proceeds normally without timeout interruptions, to verify the upload configuration is reasonable.
- Adjust the values for
recall countandreranked return count, run the same competitor benchmarking query multiple times, compare return times and result quantities, to confirm the configuration meets business requirements. - Check database logs, confirm that incremental synchronization tasks are only triggered during SKU data update windows, with no redundant load from full synchronization.
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.