What Data for This Category Looks Like
Data sources for agrochemical financing daily reports include public monitoring data from agrochemical industry associations, regular disclosure announcements of publicly listed agrochemical enterprises, and dynamic reports on agricultural input markets from the Ministry of Agriculture and Rural Affairs. The update frequency is daily, covering all agrochemical-related financing transactions completed on the same day. Each document includes fields such as full name of the financing enterprise, financing round, financing amount, list of investors, financing completion date, associated agrochemical product category, and core production capacity indicators. For units, financing amount is measured in ten thousand RMB. Financing rounds use standard venture capital terms such as angel round, Pre-A round, and A round. Associated categories are labeled with specific agricultural input product names, such as herbicides, insecticides, and fertilizer additives.
What Constraints Do These Characteristics Impose on the Knowledge Base Retrieval and Recall Link
The daily update requirement means the knowledge base must support high-frequency incremental synchronization to prevent data from lagging behind market trends. Multi-dimensional dedicated fields require the retrieval link to support field-level precise matching, rather than relying solely on full-text fuzzy retrieval. Otherwise, confusion may occur between financing information of different enterprises. Content dense with professional terms requires the retrieval model to adapt to agrochemical industry-specific vocabulary to avoid semantic misjudgment. Each document contains multiple enterprise entries, so the parsing link must support splitting by entry to ensure the independence of different financing information. Large monthly summary packages for batch import require properly configured upload and parsing timeout parameters to avoid parsing interruptions.
How to Configure the Settings
| Config Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Agrochemical financing daily reports contain professional terms and long text descriptions. This range preserves semantic integrity and avoids losing associated information due to overly fine splitting |
recall_top_k | Top 8–12 results | Agrochemical financing data has rich dimensions. Associated matching results for different enterprises and categories need to be covered to avoid missing key information due to too few results |
similarity_threshold | 0.72–0.78 | Agrochemical-specific terms have high recognizability. This range balances precision and recall scope, avoiding filtering valid matches or introducing irrelevant content |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | A single monthly summary document may contain dozens of financing entries, leading to long parsing time. This value avoids parsing interruptions |
UPLOAD_FILE_MAX_SIZE | 500 MB | Monthly agrochemical financing summary packages for batch import have large volume, and this value supports complete batch uploads |
variable_reference_mode | Field binding trigger | Agrochemical financing daily reports need to be filtered by enterprise and category dimensions. Binding dedicated fields avoids variable reference confusion between different entries |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing the configuration.
Three Common Mistakes
- Phenomenon: The knowledge base selection interface cannot correctly reference dedicated fields such as
enterprise_name,crop_product_type. Cause: Variables are not bound to the parsing fields of the agrochemical financing daily report, and only global variable matching rules are used, making it impossible to accurately locate segmented category data. - Phenomenon: Knowledge base retrieval takes more than 150 seconds, and returned results are delayed. Cause: The configuration of
chunk_sizeandrecall_top_kis not adjusted for agrochemical categories, and general-purpose large parameter values are used, leading to excessive single-batch retrieval data volume. - Phenomenon: Some enterprise production capacity image links in retrieval results are truncated, only showing partial URL paths. Cause: The complete URL parsing configuration is not enabled, or the reasonable value of
IMAGE_URL_MAX_LENGTHis not adjusted, causing long links to be automatically truncated.
How to Confirm the Configuration Is Correct
- Upload a single sample of the agrochemical financing daily report, check the parsed field list, and confirm that dedicated fields such as
enterprise_name,financing_amount,crop_product_typeare correctly identified and classified. - Initiate a retrieval request for a specific agrochemical category, and verify that the number of returned results matches the configured value of
recall_top_k. - Enter a query containing agrochemical-specific terms, and check whether the similarity scores of the retrieval results fall within the configured range.
- Check the image links in the retrieval results, confirm that the links are complete and not truncated, and can be accessed normally.
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.