What the Data for This Category Looks Like
Data sources for home goods research reports include securities firm light manufacturing industry research reports, China Home Association industry white papers, and public operational data from leading home goods retail chains. Update frequencies differ: securities firm reports update with industry events or earnings deadlines, industry white papers release annually, and retail chain public data updates monthly. Document structures typically include core insights, market performance of segmented categories such as soft furniture and kitchen and dining products, channel structure breakdowns, raw material cost analysis, and leading brand market shares. Covered fields include terminal selling prices, monthly shipment volumes, revenue share by sales channel, and raw material procurement costs. Most units are Chinese yuan and ten thousand pieces.
What Constraints These Characteristics Impose on Citation Source and Traceability
Data sources are scattered and have uneven structural quality. Securities firm reports mostly use structured fields, while industry association and retail chain data are mostly unstructured text. Configure field mapping rules to match core citation fields across different sources. Update frequency varies widely: monthly retail chain data and annual white papers have different timeliness requirements. Set independent recall priority and time filtering rules for each data source. There are many segmented categories with high keyword recognition. Use precise category keyword matching to avoid cross-category citations, and retain data publishing entities and timestamps to clarify traceability basis. Some data covers specific brands' sales movement information. Mark the sample scope and release time of the data during traceability to avoid confusion between statistical results from different periods.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 8-12 entries | Home goods research reports cover many segmented categories, this range covers sufficient relevant content while avoiding redundancy |
Similarity Threshold | 0.72-0.80 | Home goods keywords have high recognition, this range filters irrelevant recall results while retaining valid content |
Reranked Return Count | Top 3-5 entries | Research report content is lengthy, prioritize returning the most relevant snippets for answer generation and citation |
Citation Template | {{content}} (Source: {{source}}, Publish Time: {{publish_time}}) | Clearly mark the source and publish time of cited content to meet traceability requirements |
Data Source Priority Configuration | Securities Firm Reports > Industry Association Data > Retail Chain Public Data | Securities firm reports have higher structural quality and more reliable data accuracy |
Field Extraction Rules | Extract fields for "Terminal Selling Price", "Monthly Shipment Volume", "Publishing Entity" | Core citation fields for home goods research reports are price, sales volume, and publishing entity |
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 on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After the workflow runs, the large model reply does not include the research report snippets matched by the knowledge base, and only outputs generic responses. Cause: The
similarity thresholdis configured too high, resulting in no valid research report recalls, or thecitation templateis not correctly bound to the context variables returned by the knowledge base. - Phenomenon: The variable list of the code running node cannot find the result fields returned by the knowledge base, making it impossible to call the first search result. Cause: The "Return Original Document Fields" option is not enabled in the knowledge base configuration, or the output of the knowledge base node is not connected to the code node in the workflow.
- Phenomenon: The large model reply only displays a citation list without actual answer content. Cause: The
recall countis set to 0, or themaxContextparameter is set too small, resulting in no knowledge base context being passed to the large model.
How to Verify Proper Configuration
- Upload a sample research report for a home goods segmented category, run a knowledge base recall test, and confirm that the number of returned documents matches the configured
recall countvalue. - Check the workflow run logs to confirm that the fields output by the knowledge base node include traceability required fields such as
sourceandpublish_time. - Configure a test prompt to initiate a query, and confirm that the large model reply includes correct citation information and corresponding content.
- Adjust the
similarity thresholdto verify that the relevance changes of recall results align with the configuration logic.
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.