Knowledge Base Retrieval and Recall for Snack Food Financial Report Analysis

Data sources for snack food financial reports include publicly disclosed periodic reports of listed companies on domestic stock exchanges and public

What the Data for This Category Looks Like

Data sources for snack food financial reports include publicly disclosed periodic reports of listed companies on domestic stock exchanges and public industry research materials. The update schedule is as follows: quarterly reports are disclosed within 45 days after the end of each quarter, and annual reports are disclosed before April 30 each year. Documents typically include core operating data sections, detailed category-specific revenue breakdowns, raw material procurement cost details, channel revenue distribution, R&D investment, cash flow status and other fields. Revenue and cost fields are denominated in RMB yuan or ten thousand yuan, and channel distribution fields are marked as revenue proportion values for corresponding channels.

What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall

Multi-source data sources for snack food financial reports require the retrieval link to support cross-data source recall, and multi-knowledge base associated calling capabilities must be configured. The high-frequency update schedule requires setting incremental update tasks to avoid excessive resource occupation from full updates. The characteristics of numerous subdivided categories and dense associated fields require retrieval to accurately match category keywords, while recalling enough relevant fragments to support analysis. The difference in information density across different fields requires setting differentiated retrieval weights for different types of fields to improve the recall priority of core data.

Configuration ItemRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS600 secondsSnack food financial report single documents contain multiple section details, are lengthy, and take longer to parse than general documents, so sufficient parsing time must be reserved
UPLOAD_FILE_MAX_SIZE100 MBSingle annual report PDF of domestic listed snack food companies usually does not exceed 80 MB, setting this value covers conventional upload requirements and avoids space occupation by invalid large files
maxContext800–1200 charactersCore data fragments of snack food financial reports (such as category-specific revenue, raw material costs) have high effective information density, overly long context will introduce irrelevant redundant content
Recall countTop 6Snack food financial reports have many associated data, requiring recall of enough relevant fragments to support financial report analysis, while avoiding excessive redundant content interfering with model output
Similarity threshold0.72–0.78Semantic similarity of snack food subdivided category keywords (such as puffed food, nuts) is relatively high, so a reasonable threshold must be set to filter low-relevance results
Reranked return countTop 3Only the most core financial report data fragments need to be retained for model analysis, reducing the redundancy of input context

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

Three Common Misconfigurations

  • Phenomenon: After uploading a snack food financial report file, no vector data is generated during data processing. The interface shows processing success but no new content is added to the knowledge base. Cause: The PARSE_FILE_TIMEOUT_SECONDS parameter is not adjusted to a value suitable for long documents, and parsing times out causing the chunking task to interrupt.
  • Phenomenon: When calling knowledge base question answering via the HTTP interface, the returned results do not associate with the uploaded snack food financial report content, and only general model replies are output. Cause: The target knowledge base ID is not correctly specified in the request parameters, resulting in the call using the default knowledge base not associated with the specified financial report data.
  • Phenomenon: The retrieval results contain a large number of categories unrelated to snack food, such as dairy products and beverage financial report content. Cause: A reasonable similarity threshold is not set, causing irrelevant fragments with low semantic similarity to be incorrectly recalled.

How to Confirm Proper Configuration

  • Upload a standard snack food financial report PDF, check the number of chunks in the data processing log, and confirm that the parsing duration matches the value set for the PARSE_FILE_TIMEOUT_SECONDS parameter.
  • When calling the knowledge base HTTP interface, check whether the request body contains the correct knowledge_base_id parameter to ensure association with the target financial report knowledge base.
  • Enter keywords such as "snack food category-specific revenue" for retrieval, verify the relevance of the returned results, and adjust the similarity threshold to a reasonable range that filters irrelevant content.
  • Check the document statistics in the knowledge base vector database, and confirm that the uploaded financial report file has been correctly chunked and vector data has been generated.

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.