Data Profile for This Category
Dairy industry financial report data primarily comes from periodic reports and temporary announcements of listed companies disclosed by domestic and overseas stock exchanges, as well as monthly operational monitoring data released by industry associations. Update cadence follows regulatory requirements: annual reports are disclosed once per year, semi-annual and quarterly reports are updated every six months and every three months respectively, and temporary announcements are released alongside major business changes. Most documents are in PDF format. Some enterprises also provide Word-format internal analysis materials. Document structures include fields such as business segment revenue and cost, raw material procurement costs, production capacity and sales volume, and channel sales proportion. Units include standard measurements such as RMB yuan, ton, and kilogram.
Constraints Imposed on Document Parsing and Chunking
The characteristics of dairy industry financial reports impose multiple constraints on document parsing and chunking. First, single annual reports have significant length. Cross-page business segment data must not be split, to preserve contextual integrity after chunking. Second, financial reports include data across multiple product lines such as liquid milk, cheese, and milk powder. Precise segment boundary identification is required to prevent mixing of revenue and cost data from different product lines during chunking. Third, temporary announcements have non-fixed formats, including non-standard tables and paragraph layouts. Flexible parsing rules are needed to adapt to varying document structures. Fourth, measurement standards for raw material procurement data may vary slightly across documents. Field association logic must be established before chunking to ensure consistent subsequent retrieval.
Configuration Setup
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
max_chunk_size | 800–1200 characters | Dairy financial reports contain long business analysis paragraphs and structured tables. This range ensures a single chunk includes complete business segment descriptions and avoids splitting critical data |
chunk_overlap | 100–150 characters | Financial report business segments are closely connected. Overlapping chunks prevent contextual breaks across segments and preserve information integrity during retrieval |
PARSE_TABLE_ENABLE | Enabled | Dairy financial reports include numerous structured tables for revenue, cost, and production capacity. Enabling table parsing preserves field association relationships and avoids losing structured data during chunking |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single dairy industry annual financial reports typically do not exceed 500 MB. This threshold covers most publicly disclosed financial report documents |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large financial report documents take extended time to parse. This duration covers most parsing workflows and prevents premature interruption |
SIMILARITY_THRESHOLD | 0.7–0.8 | Financial report data has strong field correlation. This threshold filters low-relevance search results while retaining core business data chunks |
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: The parsed knowledge base cannot retrieve chart or table data from financial reports, and search results only contain plain text. Cause: The
PARSE_TABLE_ENABLEorPARSE_IMAGE_ENABLEconfiguration items are not enabled, leading to failure to correctly parse and chunk structured charts and tables. - Symptom: Uploaded Word-format financial reports have messy paragraphs after parsing, with unclear business segment boundaries that fail to match retrieval requirements accurately. Cause: An improper
chunk_overlapvalue is set, or Word document layout rules are not adapted to, leading to loss of contextual association during paragraph splitting. - Symptom: Knowledge base search tests return timeout errors or no matching results. Cause:
UPLOAD_FILE_MAX_SIZEis set too large, exceeding the parsing server's capacity limit, or search is triggered before document parsing completes, leading to incomplete chunked data.
How to Confirm Correct Configuration
- Upload a typical dairy industry financial report document, and view the parsed chunk preview to confirm whether business segment boundaries are clear and long paragraphs are fully retained.
- Access the knowledge base search test page, input core business keywords from the financial report, and confirm that search results include matching chunked data with no obvious formatting errors.
- Check the document parsing logs to confirm that configuration item values such as
PARSE_TABLE_ENABLEandmax_chunk_sizematch preset values, with no parsing timeout or failure records. - Attempt to upload financial report documents in different formats such as PDF and Word, and confirm that parsing results have consistent formatting with no obvious layout loss.
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.