What the data for this category looks like
Jewelry investment research data primarily comes from brand official product manuals, supply chain quality inspection reports, industry association material standard documents, e-commerce platform product detail pages, and third-party appraisal institution certificates. Update cycles range from monthly to quarterly, aligned with new product launches and batch quality inspection report updates. Document structure includes three categories: structured parameter tables, unstructured text and image documents, and image metadata. Structured parameter tables contain fields such as material, gram weight, and setting process. Unstructured documents include design descriptions and compliance inspection descriptions. Image metadata includes shooting parameters and traceability QR code information. Unique fields include nickel release amount, plating thickness, and gem carat count. Units include grams, milligrams per kilogram, and hundredths of a carat.
What constraints these characteristics impose on deployment and upgrade
The multi-source mixed nature of jewelry investment research data requires deployment phase support for both structured parameter parsing and unstructured text and image parsing plugins, to avoid parsing format compatibility issues. The monthly to quarterly update rhythm requires upgrade phase support for incremental synchronization mechanisms, to reduce resource consumption from full data synchronization. The existence of unique fields and units requires custom field mapping rules to be configured during deployment, ensuring structured storage of investment research data meets business requirements. Parameter differences across jewelry categories require flexible adjustment of parsing rules during the upgrade phase, to adapt to data standards for different materials and processes. The large volume of quality inspection reports and product images increases vector storage pressure, requiring reasonable configuration of vector indexes and caching strategies.
Configuration recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 200 MB | Single file size of jewelry product manuals and quality inspection reports typically does not exceed 200 MB, preventing single-file parsing timeouts |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Parsing long documents such as quality inspection reports or batch parameter tables requires lengthy processing time; 900 seconds covers most scenarios |
embedding_batch_size | 16 | Jewelry data contains specialized material terminology; small-batch embedding processing improves semantic encoding accuracy |
rerank_top_n | top 8 | Investment research scenarios require precise recall of relevant parameters; 8 recall results balance retrieval efficiency and information completeness |
SYNC_INCREMENTAL_ENABLE | enabled | Jewelry products are updated monthly; incremental synchronization reduces resource consumption from full disk read/write operations |
VECTOR_DB_INDEX_TYPE | IVF_FLAT | Jewelry data contains mixed text and image vectors; IVF_FLAT balances retrieval speed and vector matching accuracy |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material forms, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Phenomenon: Persistently high disk IO utilization, with read/write volume exceeding hundreds of terabytes within one day. Cause: Incremental synchronization configuration is not enabled. Full synchronization of all jewelry knowledge base data repeatedly triggers full vector database write operations.
- Phenomenon:
connection refused for pgvectorerror when starting the vector database container. Cause: The pgvector configuration in the vector database compose file is mistakenly mixed with object database configuration, and redundant database dependencies are not removed. - Phenomenon: Empty fields such as gram weight and nickel release amount when parsing jewelry parameter tables. Cause: Custom field mapping rules are not configured, and unique unit fields and business tags for jewelry are not adapted.
How to verify correct configuration
- Run a local test to upload a single jewelry product manual. Check that parsed fields include preset items such as material, gram weight, and design elements, and confirm field mapping rules are active.
- Start an incremental synchronization task. Review synchronization logs to confirm only newly added or modified jewelry data entries are displayed, with no full synchronization process triggered.
- Call the vector retrieval interface with the keyword "K gold necklace gram weight". Check that the number of returned results matches the preset configuration, and no abnormal error messages appear.
- View the container resource monitoring panel. Confirm disk read/write rates are within a reasonable range, with no persistent high utilization.
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.