Multi-turn Dialogue and Prompting for Livestock and Poultry

What Data for This Category Looks Like

Livestock and poultry farming investment research data sources include Ministry of Agriculture and Rural Affairs public monitoring data, industry association weekly and monthly reports, farm stock and slaughter ledgers, feed raw material market data, disease prevention and control bulletins, and more. Update frequencies cover daily (egg prices, pig slaughter prices), weekly (broiler slaughter volume), monthly (stock statistics), and quarterly (industry analysis reports). Document structures include structured tables (stock, slaughter volume, feed conversion ratio, etc.), semi-structured industry analysis documents, and unstructured disease prevention and control guides. Fields and units include stock (head/feather), slaughter volume (10,000 head/10,000 feather), feed conversion ratio (kg feed/kg weight gain), immunization rate, and others.

Constraints Imposed on Multi-turn Dialogue and Prompting by These Characteristics

The multi-source, multi-frequency nature of livestock and poultry farming data requires multi-turn dialogue to support filtering retrieved knowledge base content by time range. Prompts must guide users to clarify the time node of their questions, to avoid confusion between real-time and historical data. The mixed structured and unstructured document feature requires multi-turn dialogue to support switching between parameterized query and natural language question answering modes. Prompts must clearly distinguish between structured field queries and qualitative analysis requirements. The multi-field and multi-unit feature requires prompts to enforce uniform unit conversion rules. Multi-turn dialogue must annotate corresponding units in responses, to avoid unit confusion. The large difference in data update frequencies requires the knowledge base vector database to set different refresh cycles based on data type. Multi-turn dialogue context must limit valid duration, to avoid using expired data.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`maxContext`	`8000–12000 characters`	Single livestock and poultry farming industry analysis documents often exceed 5000 characters. Multi-turn dialogue needs to retain sufficient context for association
`recallTopK`	`Top 6–8 entries`	Structured stock data and unstructured analysis content are retrieved together. Too many entries will cause context redundancy
`SIMILARITY_THRESHOLD`	`0.72–0.80`	Livestock and poultry farming data fields have high similarity. Too low a threshold will introduce irrelevant disease or feed-related data
`enable_chat_citation`	`Can be manually enabled or disabled`	Some users in investment research scenarios need to hide citation sources, while others need to display data provenance
`chat_intro_quick_buttons`	`Configured as "Current Egg Price Trend", "Monthly Stock Change", "Disease Prevention and Control Guide"`	High-frequency investment research questions for livestock and poultry farming focus on these three scenarios
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Parsing large ledgers and quarterly report documents for livestock and poultry farming takes a long time

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

Phenomenon: Duplicate data source annotations appear in dialogue responses, or citation content cannot be hidden. Cause: The global switch for enable_chat_citation and temporary parameters for individual dialogue turns are not configured correctly, leading to conflicting citation logic.
Phenomenon: Configured quick start buttons do not respond when clicked, or sent questions do not match preset ones. Cause: The trigger logic for quick buttons is not bound to the knowledge base's retrieval rules, leading to failure to match investment research data for the target category.
Phenomenon: Calling the dialogue API to upload farming ledgers returns a 413 Request Entity Too Large error, or dialogue history is lost in login-free scenarios. Cause: The UPLOAD_FILE_MAX_SIZE parameter is not adjusted to adapt to large ledger documents, or temporary session identifier storage logic is not configured for login-free users.

How to Verify Proper Configuration

Initiate three consecutive questions. For example, first ask "Current White Broiler Slaughter Price", then follow up with "Month-over-month Change", then request "Compare with the same period last year". Confirm that responses are coherently linked to context and do not lose category constraints.
Click the configured quick start buttons. Confirm that preset questions are sent automatically, and retrieved knowledge base content matches high-frequency livestock and poultry farming investment research scenarios.
Adjust the enable_chat_citation parameter. Confirm that dialogue responses can normally enable or hide data source citation annotations.
Test login-free sessions. Close the page and re-enter, confirm that previous dialogue history can be restored, or that calling the dialogue API to upload large farming ledgers does not return timeout or file size errors.

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.