What This Category’s Data Looks Like
Aquaculture financing daily report data comes from three sources: financing application materials submitted by breeding entities, breeding record ledgers from local agricultural and rural authorities, and capital flow records from regional aquatic trading markets. Data is fully synchronized for the prior day every early morning. Documents are grouped by breeding category, such as shrimp, grass carp, shellfish. Each category section includes these fields: entity name, financing application amount, fund usage, application cycle, approval progress, and breeding area. Financing amount is measured in ten thousand RMB, application cycle in natural days, and breeding area in mu.
Constraints on Multi-turn Dialogue and Prompt Engineering
The categorized structure of aquaculture financing daily reports requires multi-turn dialogue to first confirm the target breeding category. This prevents mixing data across categories. The daily update requirement means prompts must force retrieval of the latest knowledge base entries from the current or prior day. This stops outdated data from being returned. Fields include units for financing amount, application cycle and other metrics. Prompts must explicitly require matching the correct units when generating output, and no unit mixing is allowed. Additionally, individual daily report documents are lengthy. Multi-turn dialogue must limit the context window to avoid redundant information interfering with core Q&A.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Individual aquaculture financing daily report documents are lengthy, so sufficient context must be retained to record category selections and historical questions |
recall_top_k | Top 6 entries | Daily reports are organized by category, so relevant entries for the target category must be retrieved to avoid excessive irrelevant data |
chunk_size | 1500–2000 characters | Daily reports are split by category sections, so segments must cover complete single-category financing information blocks |
similarity_threshold | 0.75–0.85 | Precise matching of user-specified breeding categories and financing fields is required, to avoid retrieving data from non-target categories |
prompt_template | Please answer based on the latest aquaculture financing daily report data, strictly follow the user-specified breeding category and field requirements, and match the corresponding units in the output | Clearly constrain the AI’s retrieval scope and output format, to align with the field and unit rules of aquaculture financing daily reports |
PARSE_FILE_SEPARATOR | ## Category: | Daily report documents use second-level headings to mark different breeding categories, using this separator preserves complete single-category data blocks |
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 individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Retrieval results return financing data from non-target breeding categories. The cause is failure to explicitly specify category filtering conditions in the prompt, or use of a
similarity_thresholdvalue that is too low, leading to retrieval of irrelevant entries. - 422 status code errors occur during dialogue. The cause is failure to match the correct separator during knowledge base parsing, leading to missing fields after segmentation, which triggers interface verification failures.
- Real-time switching of the target breeding category during dialogue is not possible. The cause is failure to enable context memory configuration, so multi-turn dialogue does not retain previously specified category information, requiring restatement of the category for each question.
How to Verify Proper Configuration
- A query including a specified breeding category and fields may be submitted. Returned results are checked to confirm they only contain financing data for the target category.
- A single aquaculture financing daily report document may be uploaded. Parsed knowledge base segments are checked to confirm they use breeding categories as complete units.
- Consecutive queries across multiple categories may be submitted. Dialogue context is checked to confirm it retains previously specified category information.
- Knowledge base retrieval may be triggered. Interface return status codes are checked to confirm they are 200, with no field missing error messages.
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.