What the Data for This Category Looks Like
In livestock and poultry farming marketing content scenarios within the financial industry, relevant data primarily comes from on-site breeding logs, IoT collection devices, feed purchase documents, and slaughter quarantine certificates. Data update rhythms fall into two categories: Daily breeding records are updated once per day. Temperature, humidity, and feeding data collected by IoT devices are pushed hourly or in real time. Quarantine and slaughter documents are updated when corresponding business nodes are triggered.
Each document is structured around a breeding batch, and includes fields such as batch number, pen location, livestock and poultry breed, rearing age, feed consumption, vaccination records, and weight monitoring values. Weight and feed consumption use kilograms as their unit. Vaccination records include fields for vaccine name and vaccination date.
Constraints Imposed on Form and Interaction Links
For livestock and poultry farming marketing content in the financial industry, the form and interaction link must adapt to the multi-field, multi-source characteristics of this category’s data.
First, fields with clear unit-based quantitative indicators require preset unit options in the form to avoid manual input format errors. Second, data supports both manual entry and IoT device import, so two interaction entry points must be provided: single-item entry and bulk file upload.
Breeding batches are associated with multiple sub-fields, so batch linkage logic must be configured. Selecting a corresponding batch will automatically populate basic information such as pen location and breed. Fields that require fixed formats, such as vaccination records and quarantine numbers, need format validation rules to ensure data compliance. Real-time collected device data must support real-time synchronous display in the form to ensure information accuracy during entry.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
EMBEDDING_MODEL | "text-embedding-ada-002" or a custom embedding model | Livestock and poultry farming data includes structured fields and breeding log text. ada-002 adapts to general text embedding, and custom models can be optimized for breeding-specific terminology |
LLM_MODEL_LIST | ["gpt-4o", "claude-3-5-sonnet", "custom_channel"] | Covers mainstream commercial large models, and supports custom channels to connect to third-party interfaces, adapting to computing power and functional requirements of different businesses |
RERANK_ENABLE | true, use the reranking model jina-reranker-v2-base-multilingual | Livestock farming data has many fields and a high risk of confusing similarity. Reranking models can improve accurate recall rates and adapt to custom channel configurations |
PARSE_CHUNK_SIZE | 800–1200 characters | Breeding documents include long texts such as batch records and epidemic prevention logs. This segment length balances context completeness and retrieval efficiency |
BI_CHART_ENABLE | true, bind fields such as weight and feed consumption in the knowledge base as data sources | Livestock farming data includes quantitative indicators. Enabling BI charts can intuitively display batch change trends, and corresponding fields must be specified as the drawing basis |
FORM_VALIDATION_RULES | Enable unit validation and date format validation | Livestock farming forms include fixed-format fields such as kilograms and vaccination dates. Validation rules can reduce format errors from manual entry |
The parameter values provided on this page are all conventional recommendations used to establish a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: When
EMBEDDING_MODELis configured as a model other thantext-embedding-ada-002, an errorundefined model must match "^(textis returned. Cause: The interface configuration for the corresponding custom embedding model has not been completed on the platform, or the entered model name does not match the platform’s preset validation format. - Phenomenon: After configuring the jina rerank service in a custom channel, an interface exception is returned during calls. Cause: The interface address and access key of the reranking model have not been correctly filled in the custom channel parameters, or the
RERANK_ENABLEfunction switch has not been turned on. - Phenomenon: Format errors appear in the epidemic prevention record fields submitted by the form, and validation fails. Cause: The date format validation in
FORM_VALIDATION_RULEShas not been enabled, and manually entered dates do not follow the universal standard format.
How to Confirm Configuration Is Complete
- Navigate to the large model configuration page, verify the content of the
LLM_MODEL_LISTconfiguration, and confirm that the required large models and custom channel parameters are included. - Upload a single breeding document, check the parsed text segmentation results, and confirm that the segmentation logic conforms to the preset rules.
- After enabling the BI chart function, bind quantitative fields in the knowledge base as data sources, and confirm that the drawing interface can load the corresponding field information.
- Submit a form entry containing units, check whether it passes the format validation, and there are no abnormal error prompts.
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.