What Data Looks Like for This Category
Typical entities in this category are bakeries, cookie manufacturers, instant noodle factories, and frozen pastry factories. Daily documents include formulas and feeding lists, production records, baking or steaming curves, metal detection records, cleaning and disinfection records, and factory inspection reports. Data sources include raw and auxiliary material qualification certificates, ERP/MES systems, weighing systems, ovens or frying lines, laboratory test data, and food traceability ledgers. Updates occur per batch, per shift, or daily. Document fields include feeding volume, baking temperature, test time, allergen labeling, and more. Some documents require matching batch numbers and production shift information.
How These Characteristics Create Constraints for Source Citation and Traceability
Documents in this category are updated per batch and shift. Traceability workflows require precise matching of batch numbers and production times to avoid incorrect cross-batch data citations. Documents have many subdivided fields with tight associations. Accurate linking to specific content in corresponding document blocks is needed to avoid information bias from vague matching. Allergen and foreign matter control are high-risk processes. Traceability must cover key documents such as cleaning and disinfection records and metal detection records to prevent incorrect allergen labeling or foreign matter issues. Frequent line changes lead to fast document updates. Support for dynamically loading the latest batch’s production and test data is required to ensure cited information is real-time and accurate.
Configuration Settings
This page’s configuration is based on FastGPT v4.17.0. Specific configuration items and recommendations are as follows:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Covers core content of a single process document or exception report, avoids truncating critical traceability information |
| Single search limit | Top 5 results | Matches the number of relevant documents for a single production batch, avoids interference from redundant information |
responseData | Enable citation details | Ensures returned results include specific paths, batch numbers, and field information for document sources |
| Timeout setting | 600 seconds | Matches reasonable response duration for single-batch document retrieval, avoids timeout interruptions |
| Reranking rule | Sort by production time in descending order | Prioritizes matching the latest batch’s production and test data, aligns with actual business scenarios |
detail | Enable full traceability | Displays the original content of cited text blocks and the association with source documents |
Three Common Misconfiguration Issues
- Issue: Returned citation lists do not include cleaning and disinfection records or allergen test documents. Cause: Corresponding document categories are not included in the knowledge base retrieval scope, leading to missing traceability information for high-risk links.
- Issue: Cited document blocks do not include batch numbers or production shift information. Cause: Batch metadata is not retained during document chunking, making it impossible to meet traceability requirements for corresponding production batches precisely.
- Issue: Knowledge base variables passed during workflow calls do not take effect. Cause: Knowledge base selection configuration is not set as a dynamic variable that can be passed via API, making it impossible to match corresponding documents based on passed parameters.
How to Verify Correct Configuration
- A test query is submitted to verify that returned results include traceability information such as document names, batch numbers, and test times.
- An API call with a custom batch variable is made to confirm that the workflow automatically matches knowledge base documents for the corresponding batch.
- The
responseDatareturned fields are checked to confirm that they include full paths and metadata for citation sources. - An exception report drafting scenario is simulated to verify that traceability information covers required documents such as metal detection records and cleaning records.
The values provided here are common starting points and should be evaluated against the user’s own samples.