What the data for this category looks like
Agrochemical marketing-related documents for financial/insurance/wealth management scenarios are mainly sourced from four categories: enterprise product R&D archives, compliance filing documents from agricultural and rural affairs departments, agricultural technology promotion training materials, and dealer marketing materials. The update rhythm of these documents adjusts with product registration status, farming seasons, and policy requirements, with no fixed cycle. The update frequency of core product parameter documents is lower than that of agricultural technology promotion content. Three types of document structures exist:
- Fully structured product parameter tables, including fields such as active ingredient, formulation, registration number, applicable crops, and application dosage. Units are mostly %, g/mu, mL/hm².
- Fully long-form agricultural technology guidance content, covering full-cycle crop fertilization and pest and disease control plans.
- Mixed-structure marketing materials, including product comparison manuals with tables and agricultural technology social media posts with images.
What constraints these characteristics impose on document parsing and chunking
The multi-structure nature of agrochemical documents requires parsing to distinguish between structured tables and unstructured content, to prevent incorrect binding of parameters and units. Long-form agricultural technology guidance includes continuous stepwise information. Chunking must retain full contextual integrity, and must not split continuous fertilization or medication instructions. Key information such as registration numbers in compliance filing documents must be bound to corresponding product parameters. Chunking must not split independent fields from associated content. High-frequency professional terms include emulsifiable concentrate, wettable powder, and antagonism. Chunking must retain full contextual context for these terms to avoid semantic breaks. Comparative tables in marketing materials must retain row and column correspondence. Otherwise, product parameters will be confused with competitor information, which affects accurate matching of marketing content for the scenario.
How to set the configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Adapts to the context length limits of mainstream vector models, while retaining complete steps of agricultural technology guidance for agrochemicals or associated information of product parameters, to meet the retrieval needs of marketing content in this scenario |
chunk_overlap | 150–200 characters | Retains associated context of professional terms, parameters and units across chunks, to avoid breakage of key information during chunking |
PARSE_TABLE_MODE | structured_merge | Agrochemical documents contain a large number of structured parameter tables. This mode retains the row and column correspondence of tables, to avoid field misalignment after parsing |
UPLOAD_FILE_MAX_SIZE | 200 MB | Agrochemical compliance filing documents are mostly PDFs combined from multi-page scanned materials, with large single-file size. This configuration prevents exceptions caused by excessive chunking of a single file |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large agrochemical product manuals requires significant processing time. This configuration prevents parsing task failures due to timeout |
vector_batch_size | 10–15 | Balances the load and efficiency of vector generation, to avoid vectorization exceptions caused by too many chunks in a single batch |
The parameter values provided on this page are conventional recommendations used as starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: A
400 Bad Requesterror occurs during vectorization, prompting that the chunk length exceeds the model limit. Cause:chunk_sizeis not adjusted according to the characteristics of long agrochemical documents, and the chunk length exceeds the maximum context length supported by mainstream vector models. - Phenomenon: Fields in parsed product parameter tables are missing or misaligned. Cause: The structured parsing mode of
PARSE_TABLE_MODEis not enabled. The default text parsing mode cannot recognize the row and column correspondence of tables, leading to incorrect binding of parameters and units. - Phenomenon: Partial chunks fail vectorization even after multiple retries. Cause:
vector_batch_sizeis not adjusted. Too many chunks in a single batch overloads the vector generation node, causing some chunks to be skipped before vectorization is completed.
How to confirm the configurations are set correctly
- Upload an agrochemical PDF containing product parameter tables, check if the parsed text retains the row and column correspondence of the tables, to confirm that the
PARSE_TABLE_MODEconfiguration takes effect. - Upload an agricultural technology guidance document with a length exceeding 5000 characters, view the chunk list after chunking, to confirm that each chunk length matches the preset range, and adjacent chunks have overlapping content.
- Upload a compliance filing file with a volume exceeding 100 MB, check if the parsing task status is completed within the preset timeout period, to confirm that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is reasonable. - Initiate a vector generation task, check if prompts related to vector generation batches appear in the task log, to confirm that the chunk batch matches the preset configuration.
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.