What the data for this category looks like
Data sources for aquaculture financial reports primarily include official statistical bulletins released by the Fishery Administration of the Ministry of Agriculture and Rural Affairs, monthly monitoring reports from provincial fishery authorities, public financial reports of listed aquaculture enterprises, and public research documents from third-party industry consulting firms. Update cycles vary across sources: official bulletins are released quarterly and annually, corporate financial reports are disclosed quarterly, semi-annually, and annually, and industry consulting reports have irregular release cycles. Documents are structured by aquaculture category (seawater, freshwater, shrimp, fish, shellfish and other sub-varieties) and regional dimensions. Core fields include cultivation area, yield, yield per unit, cost proportion, and more. Corresponding units include hectare, mu, ton, kilogram, yuan per kilogram, and others.
Constraints on knowledge base retrieval and recall
The multi-category and multi-regional document structure requires retrieval and recall to match both category and regional dimensions. This prevents generalized recall that deviates from user needs. The diversity of field units requires preprocessing to complete unified unit conversion. Without this, similarity matching will filter valid content due to unit differences. The differing update cycles of data sources require the knowledge base to support incremental synchronization triggered by set cycles. This ensures the latest quarterly statistical data and financial report content can be retrieved. The high proportion of numeric fields requires the retriever to support numeric range matching, to improve retrieval accuracy.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk length | 800–1200 characters | Aquaculture financial reports include numeric fields and corresponding explanatory text. This length can cover the core data block of a single category and single quarter, avoiding splitting that breaks the binding between numeric values and explanatory text |
recall count | Top 6–8 results | There are many sub-categories and regional data for aquaculture. Too many recalls will exceed the context window, while too few will miss valid content from key categories or regions |
similarity threshold | 0.72–0.78 | The expression of aquaculture data has regional and unit differences. A threshold that is too low will introduce irrelevant data, while a threshold that is too high will filter valid content with different expressions of the same category |
PARSE_FILE_UNIT_CONVERSION | Enabled | Aquaculture documents contain area units such as hectares and mu, and weight units such as tons and kilograms. Enabling this configuration can unify the benchmark for retrieval matching |
incremental sync trigger cycle | Triggered quarterly | Official aquaculture statistical bulletins are updated quarterly, and corporate financial reports are updated quarterly and semi-annually. Quarterly synchronization can cover most data update cycles |
reranked result count | Top 3–4 results | Reranking filters low-relevance content from the recall phase, retaining core data blocks that best match user questions |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: Calling the
/api/v1/chat/completionsinterface with a specified appId does not return uploaded knowledge base content. Cause: The target knowledge base is not bound in the corresponding application’s configuration, the knowledge base’s vector index synchronization has not completed, or the request does not carry correct knowledge base association parameters. - Symptom: Returned answers do not include images from retrieved paragraphs, or do not display document source information. Cause: The knowledge base’s image analysis and source tracking switch is not enabled, and associated metadata for images is not retained during chunking. This prevents the retriever from recalling text blocks linked to images.
- Symptom: Recalled document fragments have mixed numeric comparisons and ununified units. Cause: The
PARSE_FILE_UNIT_CONVERSIONconfiguration is not enabled, and unified conversion is not applied to fields with different units. This causes deviations in similarity matching.
How to confirm the configuration is correct
- Upload a test aquaculture financial report document, call the
/api/v1/knowledgebase/syncinterface, and verify the synchronization log returns a 200 status code. This confirms the vector index has been built. - Submit a test query that includes category, regional, or numeric requirements. Check if returned results include document source metadata fields to confirm the source tracking configuration is active.
- Review the retriever’s recall log to confirm the recall count falls within the configured value range, and similarity scores fall within the set threshold interval.
- Analyze the test document’s chunking results to confirm units have been uniformly converted, and that numeric values and corresponding explanatory text are not split across separate chunks.
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.