Data Characteristics for This Category
Retail chain registration and declaration documents originate from internal store management systems, supply chain systems, external regulatory databases, and public information from drug administration departments. Data updates are frequent; regulations may change at any time, and store information (e.g., address, contact person, business scope) often varies. Document structures are typically a mix of structured and semi-structured formats, including approval documents, licenses, GSP certification files, store layouts, equipment lists, and personnel qualification certificates. Common fields include unified social credit code, registered address, business license number, drug business scope, GSP certificate number, validity period, warehouse area, and cold chain equipment model. Units include square meters, Celsius, batches, and dates.
Constraints Imposed by These Characteristics on Workflow Orchestration
Retail chain data characteristics impose specific requirements on workflow orchestration. High update frequency necessitates workflow support for periodic or event-driven triggers to ensure the timeliness of declaration documents. The coexistence of structured and semi-structured data requires flexible data extraction and parsing nodes within the workflow to handle various document formats. For example, extracting validity periods from PDF GSP certification files or identifying warehouse areas from store layouts (images or CAD). The precision of fields, such as certificate numbers and validity periods, is critical for subsequent compliance validation; minor errors can lead to declaration failure. Diverse units require standardization during data processing to prevent calculation errors or validation failures due to unit inconsistencies.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 2048 token | Retail chain declaration documents are of moderate length; this value balances recall and model processing capacity. |
Chunk size | 500 characters | Ensures individual segments contain sufficient information while avoiding excessive length that impacts recall accuracy. |
Recall count | Top 8 entries | Covers key information, reduces omissions, and limits redundant input. |
Similarity threshold | 0.78 | Retail chain data demands high accuracy; a high threshold ensures relevance. |
Rerank result count | Top 3 entries | Selects the most relevant items from the recalled results to improve final output relevance. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing time can be long when processing scanned PDFs or large Excel files. |
Three Common Mistakes
- Large model nodes return a 500 Gateway forwarding error, potentially due to upstream service disconnection or incorrect model interface configuration.
- Batch workflow execution does not enable concurrent processing, leading to low efficiency, as the default configuration may be serial.
- A workflow runtime error at offset 17 typically indicates an out-of-bounds index in a data parsing node when processing specific file formats, caused by character encoding or data structure mismatches.
How to Confirm Correct Configuration
- Run the workflow for different types of declaration documents (e.g., GSP certificates, business licenses, personnel qualifications) and check the completeness and accuracy of the output to ensure all key fields are correctly extracted.
- Simulate data update scenarios, such as modifying a store address or GSP validity period, then trigger the workflow and verify that the updated information is correctly recognized and processed.
- Run the workflow with test data containing errors or missing fields, observe if error handling nodes capture and flag issues as expected, and check if error messages clearly indicate the problem.
Note: The values provided are common starting points. Measure them against your own samples for optimal results.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.