What the Data for This Category Looks Like
Agrochemical product data sources include official product registration certificate documents of enterprises partnered with financial institutions, field trial reports, dealer terminal feedback databases, agricultural input registration data publicly released by agricultural management departments, and agrochemical enterprise marketing demand data collected by financial institutions. Updates are issued irregularly alongside the release of new registration certificates, and the latest efficacy data from field trials is synchronized once per quarter. Document structure is divided into product core parameter pages (including registration certificate number, active ingredient content, applicable crops, application dosage, pre-harvest interval, with units of g/L, g/mu, days), marketing script library (including common farmer questions, crop adaptation promotion language), and terminal sales data records.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The multi-source data of agrochemical products requires multi-turn dialogue to separate registration-compliant data from marketing materials. It must also comply with financial institution compliance rules to avoid prohibited publicity. Multi-unit fields require prompts to enforce uniform unit conversion, preventing farmers from confusing dosage expressions. Irregularly updated data requires regular refreshes of the knowledge base recall pool, ensuring dialogues return the latest compliant content. Continuous crop medication scenarios require multi-turn dialogue to retain user-provided context such as crop type and planting stage, reducing repeated questions. The system must also adapt to financial institution customer service workflows.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | Previous 8 turns of dialogue context | User questions for agrochemical marketing typically revolve around continuous crop medication scenarios. 8 turns cover complete needs and avoid context overflow |
number of recalled entries | Top 6 entries | Agrochemical data includes multiple categories: registration certificates, field trials, marketing scripts, and more. 6 entries cover content across different dimensions and prevent information overload |
similarity threshold | 0.75–0.85 | Many professional terms exist in agrochemicals. A threshold that is too low introduces irrelevant content, while a threshold that is too high misses relevant marketing materials |
contextWindowTokenLimit | 16000 tokens | Agrochemical documents include long-form field trial reports. 16000 tokens fully load the content of a single report |
systemPrompt | Only reply based on the provided agrochemical marketing knowledge base content, strictly use the units in the documents, comply with the marketing compliance requirements of financial institutions. If no corresponding content is found, reply with 'No relevant marketing content available' | This limits reply boundaries, complies with financial institution marketing compliance rules, unifies professional terms and units, and avoids prohibited or confusing statements |
number of reranked returned entries | Top 3 entries | Prioritize displaying the most matching marketing scripts, preventing users from being distracted by redundant information |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Multi-turn dialogue pulls all historical dialogue by default, without limiting rounds as required. Cause: The round parameter for
maxContextis not configured, so all context content loads by default. - Phenomenon: Dosage form images of agrochemical products fail to display on the dialogue interface. Cause: The knowledge base image analysis function is not enabled, or uploaded image formats do not meet platform requirements.
- Phenomenon: LLM replies exceed the knowledge base scope and introduce unauthorized content. Cause:
systemPromptdoes not clearly define reply boundaries, or the recall threshold is set too low, introducing irrelevant data.
How to Verify Successful Configuration
- Manually input a test question containing agrochemical professional terms, and confirm the reply only uses marketing content from the knowledge base.
- Launch consecutive multi-turn questions, and confirm context loads according to the configured rounds, with no redundant historical content included.
- Upload an agrochemical product registration certificate document, and confirm the dialogue interface correctly parses and associates relevant marketing scripts.
- Check the model version binding configuration, and confirm the model information displayed on the dialogue interface matches the information on the knowledge base configuration page.
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.