Knowledge Base Retrieval and Recall for State-owned Large Bank Financing Daily Reports

What this type of data looks like

Data sources for state-owned large bank financing daily reports mainly include official publicly disclosed credit briefings, central bank interbank financing statistical ledgers, and internal credit approval records. The system collects daily data for the current day’s financing activities. External release and internal archiving finish by 12:00 the following day. Most documents use a fixed-header table format, with standard fields including financing entity name, financing amount (unit: 100 million yuan), financing term, annualized interest rate range, fund usage, and release date. Some historical archived data prior to 2020 uses PDF scan format.

Constraints for Knowledge Base Retrieval and Recall

The fixed-header table structure requires retrieval to support structured field matching. This prevents retrieval bias caused by semantic breaks across fields. The daily incremental update rhythm requires configuring appropriate synchronization logic. This reduces resource consumption and response delay from full index rebuilding. Historical data in scan format requires OCR conversion first. The system cannot extract valid text for retrieval without this step. Amount and interest rate fields with units require configured normalization rules. This ensures numerical values with different units can be matched correctly, and avoids retrieval failure due to inconsistent units. The limited daily new data scale also requires recall configuration to balance accuracy and response speed. This prevents performance loss from full retrieval.

Configuration Settings

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

• Symptom: Knowledge base search response times out, logs show ETIMEDOUT error. Cause: Incremental synchronization logic is not configured, and full index rebuilding is triggered daily, leading to queuing and backlog of retrieval requests.
• Symptom: A large number of garbled characters or meaningless image placeholders appear in retrieval results. Cause: The PARSE_OCR_ENABLE configuration is not enabled, and scan document raw image data is directly used for retrieval without completing text extraction.
• Symptom: Split text from the knowledge base has concatenated table rows or redundant line breaks. Cause: Splitting rules are not configured based on actual line breaks, and the string "\n" is incorrectly used as the splitting basis, leading to cell line breaks within tables being misjudged as document split points.

How to Confirm Proper Configuration

• Upload a single historical scan-format financing daily report PDF, check whether the text in the parsing result is fully extracted without obvious garbled characters or placeholders.
• Initiate multiple sets of queries including financing entity and amount fields, verify whether the number of recall results falls within the range configured for RECALL_TOP_N.
• Check the index update log to confirm that only incremental indexes are generated daily, and no full reindexing process is triggered.
• Test queries for amounts with different units, confirm that results can correctly match normalized numerical values, and avoid retrieval errors caused by unit discrepancies.

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.