Knowledge Base Retrieval and Recall for Automated Equipment Financing Daily Reports

Data sources for automated equipment financing daily reports include business systems of financial leasing institutions, dealer financing ledgers of

What the Data for This Category Looks Like

Data sources for automated equipment financing daily reports include business systems of financial leasing institutions, dealer financing ledgers of equipment manufacturers, and public financing statistics from industry associations. Data updates run daily in the early morning, refreshing transaction records from the prior day. Most documents are in structured CSV or Excel formats. Each single record contains fields including unique device identifier, brand model, financing party information, financing amount (unit: RMB ten thousand yuan), financing term (unit: month), loan date, and repayment plan. Batch financing records for multiple devices are marked with a batch number.

Constraints Imposed on Knowledge Base Retrieval and Recall

Dispersed data sources lead to inconsistent field naming across different sources. For example, some records use "device model" while others use "model". Field mapping rules must be configured to resolve this. The daily update requirement means the knowledge base must support incremental indexing, to avoid the time cost of full reindexing. Structured fields include numeric values for amount and term. Numeric similarity matching logic must be configured to meet matching needs for numeric fields. Plain text matching alone cannot cover these scenarios. Single records have moderate text length. Appropriate segment length must be configured to adapt to retrieval context. Documents may include embedded device photos or contract scan copies. Image extraction parameters must be configured to ensure corresponding content is returned in retrieval results.

Configuration Settings

Configuration ItemRecommended ValueRationale
UPLOAD_FILE_MAX_SIZE1000 MBStructured files uploaded in a single batch for financing daily reports typically do not exceed 500 MB. This setting reserves reasonable redundancy.
Recall count10-15 entriesQueries for financing daily reports usually require recent transaction records. Too many results exceed processing capacity for typical users.
Similarity threshold0.78-0.82Balances the accuracy of structured field matching and filters irrelevant historical records.
PARSE_FILE_TIMEOUT_SECONDS600 secondsParsing large batches of structured files requires sufficient time to prevent timeout errors.
enable_incremental_indexEnabledAdapts to the daily update feature of financing daily reports, reducing indexing time.

The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

  • Phenomenon: A 413 Request Entity Too Large error is triggered when uploading files. Cause: UPLOAD_FILE_MAX_SIZE is set too small, and does not match the actual size of financing daily report files.
  • Phenomenon: Embedded device photos or financing contract scan copies in documents are not returned in retrieval results. Cause: The enable_attachment_extract configuration item is not enabled, and the image extraction function is not activated during parsing.
  • Phenomenon: The number of retrieval results is fixed at 30 when deployed locally, and cannot be adjusted. Cause: The default configuration parameter for Recall count is not modified, and the system preset value of 30 is used.

How to Confirm Configuration is Complete

  • Upload a test financing daily report file that includes device model, financing amount, and embedded images. Check that parsed fields are complete and units are unified.
  • Initiate a query that includes a device model. Check that the number of returned results matches the configured Recall count, and similarity scores fall within the set threshold range.
  • Initiate a query that includes image descriptions. Check that corresponding image content is returned in retrieval results.
  • Wait for the next day's incremental update task to complete. Check whether new financing daily report data has been added to the knowledge base.

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.