Knowledge Base Retrieval and Recall for Crop Farming Financing Daily Reports

Data sources include financing filing data of planting entities collected daily by local agricultural and rural authorities, and loan ledgers of

What the data for this category looks like

Data sources include financing filing data of planting entities collected daily by local agricultural and rural authorities, and loan ledgers of agricultural-related banking institutions. Updates are made daily before dawn, with full data for the previous day released. Each document contains the daily financing details of a single planting entity, with the following fields: entity unified social credit code, planting category, financing amount, financing purpose, loan institution, loan date, repayment term. The unit for amount is ten thousand yuan, and the unit for term is natural day. Some documents also include operating scale notes for the planting entity from the same day.

What constraints these characteristics impose on knowledge base retrieval and recall

The daily full update rhythm requires the knowledge base synchronization link to support incremental pulling, to avoid resource consumption and delay caused by full reconstruction. Each single document only corresponds to the details of a single planting entity. This means retrieval must support precise matching via fields such as unified social credit code and planting category, while also supporting fuzzy query scenarios. The fields have clear amount and term units, so retrieval logic must automatically align unit formats to prevent recall failure due to unit mismatch. The attached operating scale notes require recall results to be associated with the entity's operating data, so additional cross-document associated retrieval rules must be configured.

How to set configurations

Configuration ItemRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS300 secondsSingle documents for crop farming financing daily reports are relatively short. 300 seconds is sufficient to complete structured data parsing and avoid task interruption due to timeout
UPLOAD_FILE_MAX_SIZE50 MBSingle financing daily report documents have small file sizes. 50 MB can accommodate monthly archived data for batch imports, meeting daily import requirements
Segment Length800–1200 charactersSingle document content is concentrated in short text intervals linked to fields. This segment length preserves field integrity and avoids context fragmentation
Recall CountTop 8 entriesPlanting entity financing needs typically concentrate in the same category or region. 8 entries cover typical retrieval scenarios and avoid result redundancy
Similarity Threshold0.75Structured field matching accuracy is relatively high. This threshold filters low-relevance results while retaining valid financing details for the same category and region
Reranked Return CountTop 3 entriesFinal output must focus on core information. Reranking retains the 3 most relevant results to the retrieval request

The parameter values provided on this page are all conventional recommendations used to determine the starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to perform tests on one's own samples before finalizing the configuration.

Three Common Misconfigurations

  • Symptom: Knowledge base retrieval results take longer than 10 seconds to return, and logs show an ETIMEDOUT error. Cause: Incremental synchronization rules are not configured. Full document parsing triggers during daily full updates, leading to excessive resource usage on the retrieval link.
  • Symptom: Images in imported financing daily report documents fail to display in retrieval results, with the interface showing the [Image failed to load] placeholder. Cause: Local storage configuration for media resources within documents is not enabled, or media resource access paths are not synchronized to the knowledge base service node.
  • Symptom: The number of retrieval results does not match the configured Recall Count, with only 1-2 entries returned. Cause: The similarity threshold is set too high, filtering valid financing details that match the planting category.

How to Confirm Configuration is Correct

  • Run the daily incremental synchronization task, check the synchronization log to confirm only the previous day's financing daily report data is updated, with no full reconstruction records.
  • Upload a single financing daily report document, verify that parsed fields are fully extracted, and confirm the STRUCTURED_DATA_PARSE_ENABLE configuration is active.
  • Initiate a retrieval test, enter keywords for a specified planting category, and confirm the number of returned results matches the configured Recall Count.
  • Adjust the similarity threshold, compare changes in retrieval result relevance, and confirm the threshold configuration can filter low-relevance content as needed.

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.