What Data Looks Like for This Category
White goods research report data primarily comes from publicly available industry analysis reports published by securities research institutions, industry associations, and leading brands. Update frequency fluctuates with new product launch seasons, industry expos, and quarterly earnings cycles. There is no fixed daily update schedule. Document structure includes structured parameter modules and unstructured analysis modules. Structured fields cover energy efficiency ratings, power consumption, product dimensions, and price ranges. Corresponding units are rating identifiers, kilowatt-hours per year, millimeters, and Chinese yuan. The unstructured section includes market share, competitor comparisons, policy impact interpretations, and more. Single-document length varies significantly, from hundreds of words of product parameter descriptions to tens of thousands of words of annual industry trend analyses.
Constraints on Vector Models and Indexing
The coexistence of structured parameters and unstructured text in white goods research reports requires vector models to adapt to both numerical semantics and contextual text semantics. This avoids only matching text keywords while overlooking parameter associations. Uncertain update frequencies require indexes to support incremental update modes. When adding new reports, only new content is vectorized and indexed, avoiding resource consumption from full reconstruction. Large variations in document length require chunking strategies to balance the integrity of short parameter segments and semantic coherence of long analysis segments. This avoids excessive splitting that breaks context. Standardized field units require associating unit information during indexing. This prevents retrieval deviations caused by unit ambiguity.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Adapts to the length of product parameter groups and single-segment analysis text in white goods research reports, preserving semantic integrity |
chunk_overlap | 100–150 characters | Covers cross-paragraph parameter association descriptions, avoiding loss of contextual logic after chunking |
vector_db_backend | pgvector | Supports structured field indexing, enabling hybrid retrieval by associating parameters such as energy efficiency ratings and power consumption |
recall_top_k | Top 8–10 results | Matches the content needs of competitor comparisons across multiple brands in white goods research reports, recalling sufficiently relevant segments |
parse_file_timeout | 300 seconds | Adapts to the parsing and vectorization time of single large-scale industry research reports, avoiding timeout interruptions |
filter_field_enable | Enabled | Enables category field filtering, only recalling research report content labeled as white goods |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: A large number of scattered parameter fragments appear after importing research reports, and complete product information cannot be displayed. Cause: Custom chunking rules are not configured for the structured parameter modules of white goods research reports, and default chunking destroys the integrity of parameter groups.
- Symptom: Retrieval results mix research report content from other appliance categories, and cannot accurately match the white goods scope. Cause: Field filtering configuration is not enabled, and the research report category field is not used as a precondition for index retrieval.
- Symptom: The vector retrieval process returns a
504 Gateway Timeouterror in a local deployment environment. Cause: Theparse_file_timeoutparameter is not adjusted to adapt to the parsing time of large research reports, and incremental index updates are not enabled. Full index reconstruction occupies excessive system resources.
How to Confirm Correct Configuration
- Upload a single white goods research report containing complete product parameters and analysis content, check the parsed chunk list, and confirm that each group of product parameters is not split into multiple independent fragments.
- Enter a query containing specific parameters, verify that retrieval results return matching report segments as priority, and no cross-category irrelevant content is included.
- View the vector database index logs, confirm that incremental update tasks run normally according to the set trigger rules, and there are no failed records.
- Test uploading research report files of different lengths, confirm that the parsing and vectorization processes do not experience timeout interruptions, and the generated vector data is complete.
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.