What This Category of Data Looks Like
Feed-related data mainly comes from internal enterprise raw material inventory ledgers, exported files from feed formula management systems, batch test reports from third-party quality inspection institutions, and circulation monitoring data from industry associations. The data update cycles vary: raw material inventory data is updated daily, quality inspection reports for single batches of feed are generated upon production completion, general formula standards are revised quarterly, and industry circulation data is updated weekly. A single document usually includes fields such as raw material identification, core physicochemical indicators, production batch, compliance inspection items, and supplier information. Indicator fields are mostly recorded in formats like grams per kilogram, shelf life days, batch number strings, and similar formats.
Constraints Imposed on Knowledge Base Retrieval and Recall
Multi-source and heterogeneous data sources require the retrieval link to support field alignment across multiple data sources, to avoid missed recalls caused by inconsistent field names. Data with different update frequencies requires differentiated synchronization strategies, to ensure that time-sensitive inventory and quality inspection data can be updated to the knowledge base in a timely manner. The batch attribute of feed documents needs to be embedded as metadata tags into retrieval rules, to facilitate precise filtering by purchase batch or production batch. The multi-field association characteristic of physicochemical indicators requires maintaining semantic integrity during retrieval, to avoid breaking the binding relationship between indicators and corresponding batches due to text splitting.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Feed-related documents often contain long-text formulas and test data, to avoid parsing timeouts |
Chunk size | 800–1000 characters | Feed physicochemical indicators and formula text need to maintain semantic integrity, to avoid splitting that breaks indicator associations |
Recall count | Top 10 entries | Feed due diligence requires covering raw material, compliance, and circulation multi-dimensional information, to retain a sufficient candidate set |
Similarity threshold | 0.72–0.78 | Feed indicator matching has high precision requirements, to avoid mixing low-relevance content |
maxContext | 6000 characters | Due diligence reports need to integrate indicators and compliance information from multiple documents, to ensure complete context |
Rerank result count | Top 5 entries | Prioritize returning core raw material and compliance data that most closely matches the due diligence target |
The parameter values provided on this page are common recommended 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.
Three Common Mistakes
- Symptom: Query read timeout error returned during retrieval. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the parsing time of long feed documents exceeded the default threshold. - Symptom: No search results after passing the knowledge base ID. Cause: Correct field mapping was not configured for feed documents, or the recall threshold was set too high and filtered valid content.
- Symptom: Invalid URL, code: 500 returned when calling the apiCollection interface. Cause: A valid URL for the file storage path was not correctly configured during knowledge base upload, or the URL format spliced during interface calling was incorrect.
How to Confirm Proper Configuration
- Upload a single feed-related document, check if the parsed fields match the preset retrieval fields.
- Initiate a retrieval targeting feed physicochemical indicators, verify that the units of the returned results match the retrieval requirements.
- View the knowledge base synchronization logs, confirm that multi-source data update tasks are executed at the preset frequency.
- Call the knowledge base retrieval node in the workflow, verify that the configured knowledge base ID can be correctly obtained and used.
- Call the external interface with the correct knowledge base ID, verify that the returned results are non-empty.
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.