Multi-turn Dialogue and Prompt Engineering for Jewelry

What the Data for This Category Looks Like

Data sources include brand official SKU profiles, electronic certificates from third-party precious metal and gem testing institutions, and incoming material quality inspection records from supply chains. Update rhythm aligns with brand new product batches or sampling inspection cycles. No fixed schedule exists, but each single update covers one batch of SKUs. Document structure follows a single SKU per unit. Each report includes fields such as material composition, unit weight, setting details, compliance identification number, origin traceability information, and more. Field units include parts per thousand for precious metal purity, carats for gemstone weight, grams for unit weight, and some identification fields are string-based numbers.

Constraints Imposed on Multi-turn Dialogue and Prompt Engineering

Jewelry due diligence report data is organized per single SKU, with significant field differences across entries. Multi-turn dialogue must first prompt for SKUs or compliance numbers to narrow recall scope and avoid cross-category data confusion. Fields carry specific units, so prompts must enforce consistent unit terminology to prevent parameter matching errors. Updates follow no fixed schedule and depend on product batches, so multi-turn dialogue must add a confirmation step to request specification of the report’s update batch, ensuring up-to-date data is used. Single report length varies widely, so appropriate segmentation and recall length configurations are required to avoid truncating critical compliance fields.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`maxContext`	`8000–12000 characters`	Single jewelry due diligence report length varies widely; a sufficient context window preserves SKU numbers and batch information across multi-turn dialogue, preventing loss of critical parameters
`recall_top_k`	`Top 3 results`	Each jewelry SKU corresponds to one single report; excessive recall will introduce irrelevant data, and accurately recalling a single report covers due diligence requirements
`similarity_threshold`	`0.85–0.9`	Jewelry SKU numbers are precise strings; a higher threshold avoids matching similar but non-target SKU reports
`conversation_history_expire`	`7 days`	Batch update cycles for jewelry due diligence reports are mostly weekly; conversations within 7 days retain previously provided SKU information, reducing repeated input
`file_parse_chunk_size`	`1000 characters`	Jewelry report fields are evenly distributed; 1000-character segmentation ensures each segment contains a complete field group, facilitating accurate recall
`knowledge_base_permission`	`Only designated team members may access`	Jewelry due diligence reports contain sensitive brand supply chain and compliance information; access scope must be restricted to prevent data leaks

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, 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: Historical records are lost after the set dialogue duration expires, and previously provided SKU numbers cannot be reused. Cause: The conversation_history_expire parameter is not configured correctly, with an excessively short value.
Phenomenon: Recalled jewelry reports do not match the SKU specified in input, with incorrect fields or irrelevant content. Cause: The similarity_threshold is set too low, or the recall_top_k value is too large, introducing non-target data.
Phenomenon: The prompt cannot correctly parse the jewelry report content within the <FilesContent> tag, resulting in due diligence results missing critical compliance fields. Cause: The system prompt does not explicitly specify that the content within <FilesContent> should be used as the reference basis for this dialogue, or the maxContext parameter value is insufficient, causing content truncation.

How to Verify Proper Configuration

Test input different jewelry SKU numbers, check whether the recalled report fields match the target SKU, and adjust similarity_threshold and recall_top_k until matching is accurate.
Initiate multi-turn dialogue, input SKU and batch information, wait for the set duration, then review historical records to confirm information is not lost, and adjust the conversation_history_expire parameter.
Configure the <FilesContent> tag to reference jewelry report content, initiate a dialogue, and check whether the reply includes all key fields within the tag, confirming that the prompt and context window configurations are correct.
Use a non-authorized account to attempt accessing the jewelry due diligence report knowledge base, verify that content cannot be retrieved, confirming that permission configurations are effective.

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.