What the data for this category looks like
Data for the condiment category primarily comes from brand SKU management systems, ingredient compliance documents, marketing material libraries, e-commerce platform reviews and sales reports, as well as exclusive redemption benefit information from financial channels, such as SKU pricing for bank credit card point redemptions. Data update rhythm follows new product launches, ingredient adjustments, marketing campaigns or changes to financial benefits. The launch cycle for new product categories is typically quarterly, while ingredient compliance changes and benefit updates are synchronized in real time.
The structure of a single data document includes SKU name, specification model, net content, ingredient list, core selling points, channel-specific marketing copy template, and financial redemption rules. Common field units are grams, milliliters, star-based spiciness ratings, and shelf life in months. Some data includes offline and online channel material difference tags.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Multi-turn dialogue and prompt engineering configurations for the condiment category must adapt to its data characteristics and constraints from financial industry marketing scenarios.
First, different SKUs correspond to different channel marketing material tags and financial redemption rules. Multi-turn dialogue must identify channels mentioned by users, such as supermarkets, e-commerce platforms or financial redemption channels. Prompts must include channel matching instructions to prevent misuse of cross-channel materials or benefits.
Second, ingredient lists are mandatory compliance disclosure content. Marketing content generated via multi-turn dialogue must strictly use the recorded compliant ingredient fields. Prompts must include compliance check logic to prohibit the generation of unfiled ingredient descriptions.
Third, single data entries include unit-bearing fields such as net content and spiciness star ratings, as well as financial redemption point requirements. Multi-turn dialogue context must limit the scope of SKU recall to avoid mixing parameters and benefits across different SKUs. Prompts must enforce retention of field units and redemption rules.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | Previous 600–1000 characters | There are many condiment SKU parameters and financial benefit fields. Overly long context can lead to mixing of ingredients, selling points and redemption information across different SKUs. Limiting context length improves retrieval accuracy |
similarityThreshold | 0.75–0.85 | Precise matching of user-mentioned SKU names, ingredients or financial redemption needs is required. A threshold that is too low will retrieve irrelevant condiment data, while a threshold that is too high will fail to match variant keywords |
reRankTopN | Top 3–5 results | Marketing content for financial channels needs to focus on core needs. Too many retrieval results will lead to scattered generated content. Limiting the number of re-ranked results improves information concentration |
PARSE_MARKDOWN_IMAGE_PREFIX | https://brand-official-domain/ | Resolves the issue of missing image domains when importing marketing materials, automatically completes the official domain to ensure images load correctly in conversations |
hideToolCall | Enabled | Marketing content generated for financial channels should only display the final copy, hiding the parameter retrieval process of tool calls, which aligns with user reading habits |
PROMPT_TEMPLATE | Generate channel-specific marketing copy based on the following compliant condiment data, strictly retain field units such as net content and spiciness rating, do not modify the registered ingredient list, and must display the matched financial redemption rules | Binds compliant data and financial marketing requirements to ensure generated content aligns with category characteristics and compliance rules |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing the settings.
Three Common Mistakes
- Phenomenon: It is not possible to configure both Chinese and English conversation opening lines in the same workflow, only a single language version can be loaded. Cause: No language recognition branch was added to the workflow's multi-turn dialogue configuration, and no corresponding language marketing material library and financial rules were bound.
- Phenomenon: After the tool call is completed, the SKU parameter list retrieved by the tool and the final marketing copy are both displayed in the dialogue results. Cause: The
hideToolCallconfiguration was not enabled, and the intermediate process of tool calls was output synchronously, interfering with user reading. - Phenomenon: When importing marketing materials, images in Markdown files exported from Word cannot load properly, and broken links are displayed in conversations. Cause: The
PARSE_MARKDOWN_IMAGE_PREFIXparameter was not configured, and the official domain of the images was not automatically completed, resulting in relative paths that cannot be parsed by the system.
How to Confirm the Configuration is Complete
- Upload Markdown-format marketing materials containing images, initiate a query for the corresponding materials, and check whether images load normally in the dialogue interface.
- Initiate a multi-turn dialogue containing SKU names, channel information or financial redemption needs, and check that the generated marketing content only displays the final copy, with no intermediate retrieval content from tool calls.
- Configure multi-language opening lines in the workflow, switch the dialogue language, and check that the opening lines of the corresponding language are displayed normally.
- Generate marketing copy involving ingredients and net content, and check that the copy retains field units, compliant ingredient descriptions and financial redemption rules.
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.