Knowledge Base Retrieval and Recall for Auto Parts Financing

What the Data for This Category Looks Like

Data sources for auto parts financing daily reports include public disclosure announcements from the National SME Share Transfer System, financing filing information from local property rights exchanges, industry association supporting supplier survey data, and supporting supplier financing dynamics officially disclosed by original equipment manufacturers (OEMs). Current day data is generated before 18:00 on working days, with releases delayed on holidays. Documents are mostly single-page PDFs or structured Excel files. Fixed header fields include supplier name, parts category (such as chassis, body electronics, powertrain), financing amount, financing round, investors, disclosure date, and supporting OEM. Financing amount is measured in ten thousand RMB, disclosure date uses the YYYY-MM-DD format, and parts categories are preset fixed tags.

Constraints Imposed by These Characteristics on Knowledge Base Retrieval and Recall

Multi-source data requires distinguishing recall weights between public data sources and private survey data to avoid low-weight filtering of private data. The daily update rhythm requires support for incremental sync tasks to avoid excessive server resource usage from full synchronization. Documents contain both structured tables and unstructured text and image content, so multi-modal parsing is needed to recall key information from both text and images. Fixed category fields require support for precise field-based filtering, such as narrowing recall scope by parts category to improve retrieval accuracy. Some financing information only exists in image announcements, so an OCR parsing module must be configured to extract text from images and ensure complete recall of all key information.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Auto parts financing daily report single documents (including charts) are usually under 500KB. 300 seconds is sufficient to complete OCR and text parsing and avoid timeout interruptions
`maxContext`	`800–1200 characters`	The core information of a single financing daily report is approximately 600 characters. Reserving redundancy ensures complete recall of context and avoids truncation of key fields
`Recall Count`	`Top 8 entries`	Daily new financing entries are usually 10 to 30. Top 8 entries cover core financing events and avoid redundant results
`Similarity Threshold`	`0.75–0.85`	Keywords in financing daily reports have relatively high recognizability. A threshold that is too low introduces irrelevant entries, while a threshold that is too high misses closely matched financing events
`Incremental Sync Switch`	`Enabled`	Aligns with the daily update rhythm, only syncs new files and reduces server resource usage
`Enable Multi-Modal Parsing`	`Enabled`	Adapts to PDF-format financing announcement screenshots and recalls key information from both images and text

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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

Issue: After modifying Similarity Threshold or Recall Count on the knowledge base configuration page, refreshing the page restores parameters to initial default values. Cause: The "Save Configuration" button was not clicked to submit changes, or a network timeout occurred during the submission request, causing the configuration to not sync to the server.
Issue: After uploading a financing daily report PDF, only text content is returned, and financing amounts and supplier names in images are not recalled. Cause: The Enable Multi-Modal Parsing configuration was not enabled, or the OCR parsing module failed to load properly.
Issue: Calling the /api/core/rag/search interface returns a 404 Not Found error, or no online search switch is available in the interface. Cause: The installed FastGPT version is lower than V4.6.0, and this function is not integrated in lower versions.

How to Confirm Proper Configuration

Upload a test auto parts financing daily report PDF, check that the parsing result includes text information from both text and images, and confirm multi-modal parsing is active.
Go to the knowledge base configuration page, modify the Similarity Threshold to 0.8, save changes, then refresh the page and check if parameters are retained to confirm configuration sync is working properly.
Initiate a retrieval request with the keyword "new energy vehicle parts Series B financing", check that the number and similarity of returned results meet configuration requirements.
View sync task logs to confirm daily incremental sync tasks execute on time with no timeout or failure records.

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.