What the Data for This Category Looks Like
Data for jewelry research and investment knowledge bases comes from brand official product specification documents, supply chain raw material test reports, industry standard specification files, and offline store display parameter records. Updates trigger when new products launch, industry standards are revised, or raw material market conditions shift. Regular product data updates follow no fixed schedule. Core raw material parameters see small adjustments alongside market fluctuations.
Document structure primarily uses structured tables, including fields such as product ID, material, gram weight, inlay parameters, and price range. Documents also include text descriptions of product photos with parameter annotations. Some cross-border jewelry documents have multi-language pricing fields. Strict field and unit rules apply: material must include purity (for example, 999 pure gold, 925 silver), gram weight uses grams as the unit, inlays must include carat count and clarity grade, the main pricing unit is yuan, and cross-border documents include additional foreign currency pricing fields.
What Constraints These Characteristics Impose on Retrieval and Recall
The structured characteristics and field specifications of jewelry research and investment knowledge bases impose multiple constraints on the retrieval and recall link. First, multi-field exact matching requirements mean retrieval logic must combine structured field matching and semantic retrieval. This avoids parameter deviations caused by fuzzy matching. Second, no fixed update cycle means the knowledge base must support incremental updates. This reduces full index time and ensures retrieval result timeliness. Third, documents include multi-language content and unit specifications, so the indexing phase must complete unit normalization and language unification. This prevents retrieval confusion across categories or regions. Fourth, multi-parameter joint retrieval needs in research and investment scenarios mean recall logic must support combined queries for conditions such as material, gram weight, and price. This covers different analysis dimensions.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 8–12 results | Jewelry research and investment requires comparing multiple parameter sets. Sufficient recall results cover different budget and material combinations and avoid missing candidate analysis objects |
Similarity Threshold | 0.72–0.85 | Jewelry parameters are mostly exact match content. A threshold that is too low introduces irrelevant results, while a threshold that is too high fails to cover products with similar materials |
Chunk Length | 600–1000 characters | Jewelry product documents are mostly structured tables and short parameter descriptions. A moderate chunk length retains field relevance and avoids splitting that destroys parameter integrity |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | For FastGPT 4.8.17, the default timeout is 60 seconds. Jewelry documents include OCR parsing of multiple high-definition quality report images. A longer timeout prevents parsing interruptions |
Knowledge Base Incremental Update Toggle | Enabled | Jewelry new products and raw material parameters update frequently. Incremental updates reduce full index time and ensure retrieval timeliness |
maxContext | 1500–2000 characters | Research and investment scenarios require combining multiple sets of product parameters for comparison. Sufficient context supports subsequent semantic analysis and parameter comparison |
The parameter values provided on this page are general recommendations for establishing configuration baselines. Actual values are affected by material forms, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Knowledge base retrieval nodes take more than 5 seconds. Logs show multiple retries during parsing. Cause: Jewelry documents include OCR parsing for multiple high-definition quality report images. The
PARSE_FILE_TIMEOUT_SECONDSparameter was not set to a sufficient duration. This triggers the timeout retry mechanism and increases overall processing time. - Symptom: After importing an XLSX table of jewelry products, retrieval cannot match fields such as gram weight and purity, and returns empty results. Cause: Table structured parsing configuration was not enabled. Documents were split directly as plain text, resulting in loss of structured field information and inability to establish accurate indexes.
- Symptom: When passing custom knowledge base variables via the API, the retrieval node returns a
404 Not Founderror. Cause: The permission scope of the variable was not configured in the workflow, or the passed knowledge base ID format did not meet requirements. This causes the node to fail to recognize the target knowledge base.
How to Confirm the Configuration Is Set Correctly
- Upload a single jewelry product XLSX table with multiple parameter sets. Check the parsed document structure to confirm structured fields extract correctly.
- Run a parameterized retrieval test. Verify results include products with specified materials and gram weights. Adjust configuration items to match the expected recall range.
- Test passing knowledge base variables via the API. Confirm the retrieval node loads the target knowledge base normally, with no permission or format errors.
- Observe three consecutive retrieval times. Confirm times stay stable and there are no frequent timeout retries.
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.