Knowledge Base Retrieval and Recall for Jewelry Marketing Content

Jewelry data sources primarily include precious metal product ledgers from financial institutions, product design documents, marketing material

What the category’s data looks like

Jewelry data sources primarily include precious metal product ledgers from financial institutions, product design documents, marketing material libraries, and customer support knowledge bases. Updates are adjusted alongside new product launches and marketing campaign changes, with product data updated in batches when new products launch, marketing copy and price information updated weekly, and maintenance knowledge content updated monthly. Document structure includes structured fields and unstructured text. Structured fields include product_id, material, weight_g, price_yuan, with units of code, material purity, grams, and Chinese yuan respectively. Unstructured content includes scenario-specific marketing copy, maintenance guides, live stream script snippets, and product detail page text.

Constraints on knowledge base retrieval and recall

Cross-source data must support mixed retrieval of structured precious metal product data and unstructured marketing text. Otherwise, it cannot match both user product parameter queries and scenario-based needs. The high-frequency update schedule requires the knowledge base to support incremental synchronization, to avoid excessive cluster resource usage from full indexing. Structured data with multiple fields requires field-level retrieval rules to be configured. This ensures that when a user queries "999 sterling silver 10g bracelet", the material and weight_g fields are matched accurately, rather than just text keywords. Reasonable segmentation rules are needed for long-text marketing materials, to avoid breaking the connection between maintenance guides and product attributes.

Configuration Recommendations

Configuration ItemRecommended ValueRationale
UPLOAD_FILE_MAX_SIZE1024 MBCovers upload requirements for jewelry marketing materials including high-resolution product image attachments and long promotional recommendation PDF files, and prevents errors caused by exceeding file size limits
PARSE_FILE_TIMEOUT_SECONDS150 secondsMatches the parsing time required for long-text product manuals and live stream script snippets, and prevents parsing interruptions
chunk_size600–1000 charactersBalances context completeness for jewelry scene descriptions and product parameters, and avoids breaking the connection between matching copy and product attributes
similarity_threshold0.70–0.82Filters low-relevance recall results, and adapts to the scenario-based and highly descriptive text characteristics of jewelry marketing content
recall_top_kTop 6–10 resultsCovers associated recommendation requirements for multiple SKUs, while controlling context window load
enable_incremental_updateEnabledAdapts to high-frequency update requirements for new jewelry products and promotional information, and reduces time required for full indexing

The parameter values provided on this page are general recommendations that serve as a starting point for configuration. Actual values are affected by material formats, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • When uploading a jewelry marketing material PDF larger than 2 MB, a file parsing failure error is returned. The UPLOAD_FILE_MAX_SIZE parameter is not adjusted to a value suitable for large files, resulting in the upload being blocked at the upload stage.
  • A Docker-deployed knowledge base remains in the indexing state continuously, with no progress updates. The incremental synchronization switch is not enabled, and the time required for full indexing of multi-SKU jewelry data is too long, or the PARSE_FILE_TIMEOUT_SECONDS setting is too short, resulting in a backlog of parsing tasks.
  • Retrieving "999 sterling silver bracelet" recalls pure gold product results. No structured field retrieval rules are configured, or the similarity_threshold is set incorrectly, resulting in accurately matched results being filtered out.

How to Confirm Your Configuration is Correct

  • Upload a single jewelry product manual PDF no larger than 10 MB, check that there are no errors during the upload process, and confirm that the UPLOAD_FILE_MAX_SIZE configuration meets current material size requirements.
  • Submit a test query that includes product parameters and scene descriptions, verify the number and matching degree of recall results, and adjust recall_top_k and similarity_threshold to a range that meets business requirements.
  • Add a new jewelry promotional copy, wait for indexing to complete, then retrieve the promotional keyword, confirm that incremental synchronization takes effect, and there is no issue of excessive full indexing time.
  • View the knowledge base parsing logs, confirm that the parsing time of each document does not exceed the duration set by PARSE_FILE_TIMEOUT_SECONDS, and there are no parsing interruption records.

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.