What data for this category looks like
Agrochemical product data primarily comes from pesticide registration announcements issued by the Ministry of Agriculture and Rural Affairs, industry association monthly supply and demand reports, listed companies’ annual reports, raw pesticide price monitoring databases, and patent public documents. Data update frequencies vary: Pesticide registration information is updated quarterly, raw pesticide spot prices are updated daily, and industry supply and demand reports are released monthly. Most documents combine structured tables and paragraphs, with fields including active ingredient content, dosage form, manufacturing enterprises, toxicity ratings, market share, patent application numbers, and more. Units include g/L, %, yuan/ton, and other standard units.
What constraints these characteristics impose on knowledge base retrieval and recall
Multi-source heterogeneous data sources and format differences require the knowledge base retrieval system to support retrieval rules for both structured fields and unstructured paragraphs. Differences in data update frequencies require configuring batch incremental update mechanisms. This avoids excessive resource usage caused by full updates. Varied field units require built-in unit matching logic in the retrieval process. This prevents valid content from being missed due to unit mismatches. The high proportion of long documents requires adjusting segment length to retain contextual connections. This stops core technical details from being truncated. Dense professional terminology in patents and technical documents requires enabling industry-specific vocabularies. This improves the accuracy of semantic recall.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment length | 800–1200 characters | Agrochemical product documents often contain long paragraphs of technical parameters and industry analysis. This range retains contextual connections and avoids splitting critical information |
recall count | Top 8–12 results | Agrochemical due diligence reports need to cover multiple types of content including registration information, prices, and market data. An appropriate number of recall results ensures comprehensive information |
similarity threshold | 0.72–0.80 | The agrochemical field has many professional terms. This range balances retrieval precision and coverage, and avoids incorrectly recalling irrelevant content |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Parsing large industry report documents takes significant time. This range avoids parsing timeout failures |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Documents such as annual industry supply and demand reports and patent collections in the agrochemical sector are large in size. This adjustment relaxes the upload size limit |
rerank return count | Top 3–5 results | Due diligence reports need to focus on core information. Returning a small number of highly relevant results after reranking improves reading efficiency |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Symptom: A "Connection error" message is returned when calling semantic retrieval or full-text retrieval tools. Cause: The storage path for local knowledge bases or access keys for remote knowledge bases has not been configured, preventing the retrieval process from connecting to the data source.
- Symptom: The generated due diligence report does not include source identifiers, making it impossible to confirm whether content originates from the knowledge base. Cause: The "retrieval source marking" configuration item has not been enabled, so recalled content is not labeled with knowledge base sources.
- Symptom: Trace request-related records appear in the abnormal logs of the remote knowledge base service. Cause: Trace request support for the knowledge base service has not been disabled, creating HTTP protocol attack risks and potentially impacting retrieval stability.
How to verify correct configuration
- Upload a single large agrochemical industry report, and check if the parsing progress completes within the preset timeout period. No timeout indicates the parsing timeout configuration is properly set.
- Enter professional agrochemical terminology, and verify that the field units of recalled results are uniformly matched. This confirms the unit matching logic is active.
- Enable the retrieval source viewing function, and confirm that each recalled piece of content includes a knowledge base source identifier. This confirms the source marking configuration is working correctly.
- Upload multiple different types of agrochemical documents, and check if the number of recalled results matches the preset configuration. This confirms the retrieval rules are active.
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.