Document Parsing and Chunking for Securities Financial

Data Characteristics of This Category

Securities category financial report data comes mainly from official listed company disclosure platforms and channels designated by regulatory authorities. Updates follow fixed disclosure cycles: annual reports release once per year, semi-annual and quarterly reports update every six months and every quarter respectively. Most documents use PDF format, while some structured disclosure files use Excel or Word format. These documents consistently include sections such as main financial statements, detailed notes, and business analysis. Fields cover financial indicators including operating revenue, net profit, earnings per share, and more. Units mostly use RMB yuan or ten thousand yuan; some cross-listed companies mark items denominated in foreign currencies.

Constraints on Document Parsing and Chunking

Regulators release financial reports in diverse formats. PDF embedded tables often have layout shifts, requiring accurate identification of table structures and cell hierarchies to avoid breaking the association between financial indicators after splitting. A single annual report may contain hundreds of thousands of characters. After parsing long texts, chunking must retain contextual connections to avoid breaking cross-chapter financial logic. For batch processing scenarios, when multiple financial reports are submitted simultaneously, the system adapts to high-concurrency parsing requirements. Structured Excel files often include large numbers of merged cells and nested rows. Chunking must retain data hierarchies to avoid confusion in field correspondence.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`500 MB`	Adapts to the typical file size of single securities financial reports to avoid failed large file uploads
`PARSE_TABLE_STRATEGY`	`Merge Cells Priority`	Securities financial report tables often have merged cells; prioritizing this preserves data hierarchies and association relationships
`CHUNK_SIZE`	`800–1200 characters`	Adapts to the context window of mainstream vector models while retaining the logical integrity of financial report sections
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Long document parsing requires sufficient processing time to avoid mid-process timeout interruptions
`ENABLE_CHUNK_OVERLAP`	`Enabled`	Financial report indicators often span multiple paragraphs; chunk overlap preserves contextual connections
`BATCH_PARSE_MAX_NUM`	`20 per batch`	Balances server load and overall efficiency of batch parsing

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 Mistakes

When uploading a single Word financial report file containing 100,000 Chinese characters, the number of generated chunks exceeds 1000 and some chunk vectorization fails, with the interface displaying "Vector Generation Exception". The default configuration fails to adapt to long text context retention requirements because the CHUNK_SIZE and ENABLE_CHUNK_OVERLAP parameters are not adjusted, leading to chunking exceptions.
Structured financial report data queried from a database is in JSON array format, and field correspondence is lost after direct import into the knowledge base. The structured data parsing switch is not enabled, and no field mapping rules are configured, causing the JSON structure to not be correctly split into retrievable chunks.
When batch parsing Excel financial report data with 15,000 rows, some rows have empty financial indicator fields. The PARSE_TABLE_STRATEGY is not set to Merge Cells Priority, leading to failure to correctly identify and fill fields in merged cells, resulting in missing data.

How to Verify Configuration

Upload a standard quarterly financial report PDF, check if the parsed text fully retains financial tables and section titles, and verify the accuracy of field and unit recognition.
Adjust the CHUNK_SIZE parameter, then check if the length of each chunk in the chunking preview interface matches the target range, and if adjacent chunks have reasonable overlapping content.
Submit a batch parsing task, monitor timeout errors during the parsing process, and confirm that the overall processing speed meets expectations.
Import a structured Excel financial report file, check if chunks in the knowledge base retain the original data hierarchy and field correspondence.

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.