What the data for this category looks like
Paint and ink business data primarily comes from internal enterprise R&D formula documents, raw material supplier quality inspection reports, downstream customer custom requirement sheets, and compliance testing reports. Data update frequency varies by business type: raw material parameters are updated every 1–2 weeks based on market supply conditions, custom requirements are adjusted irregularly alongside customer orders, and compliance reports are updated quarterly. Each individual business document includes a fixed set of fields: raw material identifier, addition amount parameter, performance test indicators, compliance number. The addition amount is measured in kilograms per 1000 kilograms of finished product, drying time is measured in hours, and performance indicators use universal industry grade identifiers.
What constraints do these characteristics impose on multi-turn dialogue and prompt configuration?
The characteristics of paint and ink business data create multi-dimensional constraints for multi-turn dialogue and prompt configuration. High-frequency updates to raw material parameters require dialogue contexts to filter redundant historical information and avoid calling outdated raw material data. Irregular custom requirements require embedding dynamic variables in prompts to adapt to different customers’ custom parameters, while identifying new user requirements and updating context cache during multi-turn interactions. The fixed structure of document fields requires clearly specifying the format of extracted fields in prompts, ensuring generated marketing content complies with business specifications. Special unit requirements mandate binding measurement standards for parameters in prompts to prevent measurement method confusion. Quarterly updates to compliance reports require periodic recall of the latest compliance documents during dialogue, ensuring marketing content meets current industry standards.
How to set the configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 tokens | Adapts to the field density of paint and ink business documents and the context cache requirements of multi-turn dialogue, avoiding model generation deviations caused by overly long context |
similarity_threshold | 0.75–0.85 | Matches the text similarity requirements for paint and ink raw material parameters and compliance standards, filtering low-relevant knowledge base content |
recall_top_k | Top 6–8 entries | Covers multiple types of knowledge base entries required for paint and ink business, including raw materials, compliance, and custom requirements |
prompt_template | Written in the fixed order of "marketing content generation + field validation + unit binding" | Adapts to the fixed field structure of paint and ink documents, ensuring generated content complies with business specifications |
force_recall | Enabled | Ensures the system always calls the latest knowledge base content during dialogue, avoiding the use of outdated raw material or compliance data |
PARSE_FILE_CHUNK_SIZE | 800–1000 characters | Adapts to the length of paint and ink documents, avoiding context breaks caused by overly fine chunking or information loss caused by overly coarse chunking |
The parameter values provided on this page are conventional recommendations used as a starting point 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 run tests on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: When generating marketing content via dialogue, relevant knowledge base entries are occasionally not called, or the system randomly skips knowledge base recall. Cause: The
force_recallconfiguration is not enabled, or thesimilarity_thresholdvalue falls outside the applicable range, causing the system to fail to trigger the knowledge base recall logic. - Symptom: When uploading a new attached document, the system automatically loads previously uploaded historical documents for parsing. Cause: The configuration item for only parsing the currently uploaded document is not enabled, causing the system to retain historical parsing cache by default and process content in combination.
- Symptom: An error indicating incorrect parameter format or unrecognizable input occurs when passing a knowledge base ID variable during the dialogue flow. Cause: The knowledge base ID is not passed in the variable format required by the system, or the calling rules for the corresponding variable are not bound in the prompt template, causing variable parsing failure.
How to Confirm Proper Configuration
- Initiate a test dialogue containing paint and ink raw material parameters, verify that the generated content includes the specified fields and units, and confirm that the prompt template binding rules take effect.
- Upload a single paint and ink document, review the parsed chunked content, and confirm that the chunk length falls within the range specified by the preset configuration.
- After enabling the
force_recallconfiguration, initiate multiple test dialogues, verify that each dialogue calls the latest knowledge base content, and confirm no skipped recall occurs. - Pass a preset knowledge base ID variable, confirm that the dialogue flow can normally identify and call the corresponding knowledge base entries, and confirm no parameter errors occur.
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.