Knowledge Base Retrieval and Recall for Financial Leasing Daily Financing Reports

Financial leasing daily financing report data comes from core business systems of financial leasing companies, interfaces connected to fund providers

What Data for This Category Looks Like

Financial leasing daily financing report data comes from core business systems of financial leasing companies, interfaces connected to fund providers, and offline approval ledgers. It updates on a fixed daily schedule to generate a full business snapshot of the previous working day. Each daily report document contains multiple lease project records. Each record corresponds to a single independent project. Fields include project unique identifier, full lessee name, disbursement amount, contract start date, due repayment date, current due rent, actual received amount, margin deposit status, and more. Amount fields use RMB ten thousand yuan as the unit. Date fields follow the year-month-day format.

Constraints Imposed on Knowledge Base Retrieval and Recall

The multiple structured fields and unique business identifiers mean retrieval must prioritize matching project identifiers to avoid duplicate recall. The daily full snapshot update feature requires the knowledge base update frequency to sync with source data, and support switching between incremental completion and full refresh. Standardized numeric fields such as amount and date require specialized numeric vector encoding logic to prevent numeric matching deviations during semantic retrieval. The structure where each record corresponds to a single project means recall results must be aggregated by project dimension to avoid scattered field fragments interfering with large model output.

Configuration Settings

Configuration ItemRecommended ValueRationale
UPLOAD_FILE_MAX_SIZE100 MBBulk exported structured daily report files usually do not exceed this threshold, adapting to daily bulk upload requirements
PARSE_FILE_TIMEOUT_SECONDS600 secondsStructured files contain multiple lease project datasets, and the parsing process must cover all fields to avoid mid-process timeout interruptions
chunk_size800–1200 charactersCombined field information for a single lease project usually falls within this range, and splitting preserves business logic integrity
recall_top_kTop 8 entriesThe number of projects covered by a single daily report usually falls within this range; excessive recall increases context redundancy
similarity_threshold0.75Structured field matching requires high precision, so low-match irrelevant project data must be filtered
rerank_top_kTop 3 entriesFocus on key information of core lease projects to avoid redundant fragments interfering with large model output

The parameter values provided on this page are all common recommendations used to determine a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • Phenomenon: Garbled characters appear in uploaded financing daily report Excel files after parsing. Cause: The file uses a non-UTF-8 encoding, and no corresponding encoding parameter was specified during the upload step.
  • Phenomenon: After calling associated data via Function CALL, the large model output does not reference the retrieved original text fragments. Cause: Retrieved structured data fragments were not concatenated into the prompt context, only the raw interface return results were called.
  • Phenomenon: Knowledge base full update task fails, returning the 413 Request Entity Too Large error. Cause: The uploaded file size exceeds the threshold set by the UPLOAD_FILE_MAX_SIZE configuration, and the corresponding parameter was not adjusted.

How to Confirm Configuration Is Valid

  • Upload a standard-format financing daily report file, verify that parsed fields match the source file, and confirm that the encoding parameter adapts to the file format.
  • Initiate a single-project keyword search, check the number of recall results, and adjust the similarity threshold to match the matching precision required by the business.
  • Run a full update task, monitor execution duration, and adjust the parsing timeout parameter to adapt to the actual time required for file parsing.
  • Call the associated retrieval interface, check whether returned results include structured fragments, and confirm that the context concatenation configuration is active.

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.