What the data for this category looks like
Aquaculture research report data comes from fishery monitoring institutions directly under the Ministry of Agriculture and Rural Affairs, local aquaculture industry associations, public annual reports of listed aquaculture enterprises, professional aquaculture journals, and securities firm industry research reports. Update cycles vary: industry-wide research reports update quarterly or semi-annually. Frontline aquaculture monitoring data updates daily or weekly. Internal enterprise aquaculture logs update in real time. Single research reports typically include fields such as aquaculture area distribution, yield per unit area, feed consumption coefficient, and disease incidence rate. Units follow professional standards including kg/mu, fish/m³, and ppm. Some documents include water quality monitoring images of aquaculture ponds and aerial satellite images of aquaculture areas.
Constraints imposed on knowledge base retrieval and recall
The multi-source, dispersed nature of aquaculture research reports requires retrieval systems to prioritize recall ranking based on data source weight. This prevents non-authoritative data from skewing results. Frequently updated monitoring data requires knowledge bases to support incremental synchronization. This reduces resource consumption from full parsing operations. Specialized fields and unique units require parsing modules to adapt to aquaculture industry term word segmentation. This avoids incorrect splitting of professional vocabulary. Attached images and link resources require retrieval systems to support associated recall of text and visual content. Without this support, key information in research reports cannot be fully covered.
Configuration Settings
Use the following table for recommended configuration values and rationales:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_CHUNK_SIZE | 800–1200 characters | Aquaculture research reports often contain long paragraphs of professional aquaculture data. Excessively long chunks disrupt contextual associations of technical terms. Excessively short chunks split complete professional statements. |
RECALL_TOP_K | Top 8–12 results | Aquaculture professional information has high density. Too many recalled results introduce irrelevant content. Too few recalled results miss key aquaculture parameters and trend analysis. |
SIMILARITY_THRESHOLD | 0.72–0.80 | Semantic differentiation of aquaculture professional terms is relatively high. A threshold that is too low introduces irrelevant research reports. A threshold that is too high misses valid professional content. |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single aquaculture research report collections include multiple annual reports and monitoring logs. This requires support for large-file batch uploads. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing research reports with multiple water quality monitoring images requires sufficient time to complete OCR recognition and text association. |
ENABLE_INCREMENTAL_SYNC | Enabled | Aquaculture data has a high update frequency. Incremental synchronization reduces redundant parsing and transmission overhead. |
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 case-by-case analysis. It is recommended to test against local samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: After uploading a Word-format research report that includes image links, knowledge base retrieval results display the image links, but question-answering sessions cannot generate replies based on image content. Reason: The default parsing module only extracts plain text from Word documents, and does not trigger image OCR parsing or resource loading logic associated with image links.
- Phenomenon: Knowledge base question-answering replies automatically attach citation markers at the end, and some conversations return the error "No permission to operate this conversation record". Reason: Legal access scopes for conversation permissions have not been configured, and the citation generation switch has not been adjusted to match knowledge base attribute display rules.
- Phenomenon: When batch searching for aquaculture research reports, single-search response time exceeds the preset threshold. Reason: The number of recalled entries parameter is set too high, or vector database chunked index optimization is not enabled, causing redundant documents to participate in similarity calculation and reranking.
How to Verify Correct Configuration
- Upload a sample aquaculture research report that includes professional terms and image links. Check if parsed text retains complete professional fields such as feed coefficient and stocking density.
- Initiate a search for core aquaculture-related questions. Verify that the number and similarity of recalled results match preset configuration parameters.
- Test the incremental synchronization function: upload an updated research report file. Confirm only newly added content is parsed and indexed.
- Check conversation permission configurations: use an unauthorized account to initiate a search. Confirm the corresponding permission error is returned.
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.