Data Profile for This Category
Black home appliance investment research data is primarily sourced from quarterly industry association reports, official brand technical parameter documents, e-commerce platform sales and review data, third-party testing institution evaluation reports, and supply chain raw material quotation documents. Data update frequency varies by scenario: industry reports are updated quarterly, brand new product parameter documents are updated per release cycle, and e-commerce and supply chain data are synced in real time. Document structures include structured parameter tables, unstructured evaluation content, new product launch meeting minutes, and more. Fields include energy efficiency rating, panel size, rated power, launch date, supply chain cost, and more, with corresponding units such as inches, watts, yuan, and others.
Constraints for Retrieval and Recall Workflows
The high proportion of structured parameters requires retrieval to support both exact matching and semantic retrieval, to avoid confusion between different model parameters. Multi-source heterogeneous document formats require parsing plugins to cover all formats, otherwise some content will fail to be indexed. Real-time updated supply chain and e-commerce data require the retrieval pipeline to support incremental synchronization, otherwise data lag will occur. The high proportion of long documents requires a chunking strategy that balances semantic integrity; overly short chunks will break parameter associations, while overly long chunks will reduce retrieval accuracy. Multiple fields require clear specification of retrieval field scopes, to avoid retrieving irrelevant category data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_length | 800–1200 characters | Black home appliance evaluation documents are mostly coherent long paragraphs; this range balances semantic integrity and retrieval accuracy |
recall_count | Top 10–15 results | Investment research requires covering multi-dimensional data including parameters, evaluations, and supply chain information; too many results cause redundancy, too few result in insufficient coverage |
similarity_threshold | 0.72–0.80 | Structured parameter matching requires high precision to avoid mixing in irrelevant data from other home appliance categories |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Some brand technical manual PDF files have a large number of pages, resulting in long parsing times |
maxContext | 4000–6000 characters | Investment research requires integrating multiple segments of parameters and evaluation content to ensure coherent context |
rerank_return_count | Top 5–8 results | Investment reports require core, precise content to avoid distracting secondary information |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test against your own samples before finalizing.
Three Common Configuration Errors
- Symptom: Uploaded multi-level directory documents only have root directory content available for retrieval, while subdirectory files do not appear in the index list. Cause: The
RECURSIVE_PARSE_SUBDIRSconfiguration item is not enabled; by default, only files in the root directory are parsed. - Symptom: Uploaded .doc documents and test images with text cannot return retrieval results. Cause: Corresponding format parsing plugins are not enabled, or the images have not had OCR text content generated.
- Symptom: The system throws an
invalid configuration parameter name "hnsw.iterative_scan"error on startup. Cause: This parameter is only supported in specific vector database versions, and the currently deployed vector database version is incompatible.
How to Verify Correct Configuration
- Upload a test document package containing multi-level subdirectories, and check whether the index management interface includes all files under the subdirectories.
- Upload a .doc format technical parameter document and a home appliance test image with annotated text, perform a keyword search, and confirm that the corresponding content is returned.
- Check the system startup logs to confirm that no error messages for unknown configuration parameters appear.
- Use the retrieval interface with a specified knowledge base name to confirm that only document content from the target knowledge base is returned.
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.