What the data for this category looks like
Public data for small home appliances financial reports comes primarily from periodic reports of listed companies disclosed by domestic and overseas stock exchanges, and public data files from industry retail monitoring institutions. Update cycles fall into two categories: scheduled and unscheduled. Scheduled reports are released quarterly, semi-annually, and annually. Temporary announcements such as new product launches and channel adjustment notices are released as needed. Document structures usually include sections such as revenue breakdown, cost analysis, channel data, and SKU details. Fields include revenue amount, shipment volume, SKU count, etc. Units are mostly RMB yuan, units, and pieces. Document formatting varies across different disclosure entities, and some files contain large amounts of structured table content.
What constraints do these characteristics impose on knowledge base retrieval and recall
The multiple sub-categories, mixed update cycles, and numeric field characteristics of small home appliances financial reports impose multiple constraints on the retrieval and recall process. First, financial reports cover multiple sub-categories such as kitchen small home appliances and personal care small home appliances. Retrieval must accurately match sub-fields to avoid generalized recall of content from unrelated categories. Second, the mixed scheduled and unscheduled update mode requires the knowledge base to support incremental synchronization and temporary data appending, to prevent recall of outdated old data. Additionally, financial reports contain large numbers of numeric fields such as shipment volume and revenue. The retrieval process must support numeric range matching, rather than relying solely on text keyword matching. At the same time, differences in document formatting across different disclosure entities require the parsing process to retain the semantic integrity of sections, to avoid splitting that destroys the logical structure of financial reports.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Paragraphs for product analysis and channel sections in small home appliances financial reports mostly fall within this range, to avoid splitting that damages semantic integrity |
similarity_threshold | 0.72–0.80 | Small home appliances financial reports have many sub-fields, requiring high matching precision to filter irrelevant recall content |
recall_top_k | Top 8 entries | Cover relevant content across multiple sub-dimensions, to avoid missing key section information |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Small home appliances financial reports contain large numbers of SKU detail tables, leading to longer parsing times |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapt to large data files released by industry retail monitoring institutions |
enable_numeric_retrieval | Enabled | Support range matching retrieval for numeric fields such as shipment volume and revenue |
The parameter values provided on this page are all conventional recommendations, used as starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After uploading PDF or Excel files of small home appliances financial reports, garbled text fragments appear in the parsed text of the knowledge base. Cause: Parsing rules are not configured for multi-column tables in financial reports, leading to incorrect concatenation of table cell content into garbled text.
- Phenomenon: When using pgvector to store vectors, the recall results have insufficient matching accuracy with the sub-categories of small home appliances financial reports. Cause: An index model adapted to the text characteristics of small home appliances financial reports is not selected, and a general-domain pre-trained model is used instead.
- Phenomenon: A 403 status code is returned when calling the knowledge base API, and content cannot be retrieved normally. Cause: A general authentication KEY is used, and the exclusive secret key corresponding to the small home appliances knowledge base is not used, leading to failed permission verification.
How to confirm the configuration is correct
- Upload a single sample file of a small home appliances financial report, and check whether the parsed text completely retains the semantics of core sections such as product classification and revenue analysis, with no garbled text or content breaks.
- Initiate a retrieval request containing keywords for small home appliances sub-categories, and check whether the returned results cover the corresponding financial report sections, with no content from unrelated categories mixed in.
- Check the index configuration items of the vector database, and confirm that the model parameters adapted to the text characteristics of small home appliances financial reports have been loaded.
- Trigger a numeric range retrieval request, and check whether the system can correctly match numeric fields such as shipment volume and revenue in the financial reports.
- Check the Tavily search configuration of the associated workflow, and confirm that filtering conditions for small home appliances categories have been added to ensure recalled content matches the target scenario.
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.