What the Data for This Category Looks Like
Feed industry research report data mainly comes from public research reports from securities firms’ agricultural research teams, livestock and poultry monitoring data from national agricultural authorities, public reports from feed industry associations, public futures market quotations for feed raw materials, and public analysis documents from leading production enterprises.
Update cadences vary significantly by data type: raw material market quotations are updated daily, while industry supply and demand analysis reports are updated weekly or monthly.
Typical document structures include sections on raw material price trends, formula cost calculations, policy impact analysis, and downstream breeding sector dynamics. Fields include specific raw material unit prices, complete feed formula ratios, herd sizes, monthly production capacity data, and most fields have dedicated units.
Constraints for Multi-turn Dialogue and Prompt Engineering
The multi-source update cadence of feed research reports requires clear differentiation of data time dimensions in multi-turn conversations, to avoid mixing data across different cycles.
The modular structure of documents requires prompts to accurately match the module corresponding to user queries, to prevent retrieval of irrelevant content.
The presence of dedicated units for most fields requires multi-turn conversations to automatically associate unit context, to avoid mixing unit prices and bulk pricing units.
The existence of long documents requires the dialogue system to support segmented retrieval and context stitching, to prevent single retrieval content from exceeding the model’s processing limit.
Configuration Settings
| Configuration Key | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single feed research report content is lengthy, so historical queries and corresponding report fragments in multi-turn conversations must be retained to avoid context loss |
retrieval_count | top 8–12 entries | Feed research reports include multiple types of segmented data. Too many retrieved entries will cause model confusion, while too few will fail to cover complete query dimensions |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large feed research report documents requires significant time, to prevent parsing failure due to timeout |
similarity_threshold | 0.72–0.8 | Feed research reports contain many professional terms, so the threshold must be set to reduce false retrieval rates while retaining sufficiently relevant content |
segment_length | 1000–1500 characters | The modular structure of feed research reports allows improved retrieval accuracy when segmented by module |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single large industry research report files have large volume, to adapt to upload requirements |
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.
Three Common Misconfigurations
- Symptom: After upgrading FastGPT to version 4.9.13, model dialogue response results end with
[SOI]or[EOI]traceability display rule symbols. Cause: The new version enables context traceability marker output by default, and the corresponding configuration item is not disabled. - Symptom: A
413 Request Entity Too Largeerror is returned when uploading feed research report files via the dialogue interface. Cause: TheUPLOAD_FILE_MAX_SIZEconfiguration item is not adjusted, and the file volume exceeds the default limit. - Symptom: When using prompts to call tools to obtain feed raw material market quotation charts, the chart only displays partial content. Cause: The segment length configuration is not set to adapt to the display boundary of chart data, resulting in content truncation.
How to Verify Proper Configuration
- Initiate a test conversation with multi-turn historical queries, check whether key information from historical context is retained in the returned results, and confirm no context loss occurs.
- Upload a single large feed research report file, check whether the parsing progress completes normally, and confirm no timeout errors occur.
- Initiate a query involving unit confusion, check whether the returned results automatically associate correct unit information, and confirm no mixing of unit price and bulk pricing units occurs.
- View the current values of configuration items, check whether they match the preset recommended values, and confirm no parameter configuration 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.