Document Parsing and Chunking for Investment Research

What Data in This Category Looks Like

Urban commercial bank investment research data mainly comes from internal credit approval archives, weekly interbank lending reports, policy documents issued by local financial regulatory authorities, regional entity enterprise operation briefings, and excerpts from listed company financial reports. Document update cadences vary: regulatory documents are updated quarterly, interbank reports weekly, and enterprise briefings are updated irregularly based on business milestones. Document structures combine fixed-format correspondence, semi-structured data tables, and unstructured analytical text, and include dedicated fields such as regional administrative codes, credit limits (unit: ten thousand yuan), and regulatory document numbers.

Constraints Imposed on Document Parsing and Chunking

These data characteristics create constraints for the document parsing and chunking workflow. Parsing mixed-source documents requires adapting to different format rules. For example, it is necessary to preserve the cell correspondence of semi-structured tables to avoid data misalignment caused by plain text conversion. Frequently updated documents require the parsing process to support batch processing and adapt to fast-parsing parameter configurations. Dedicated fields such as regional codes and credit limits must retain contextual association during chunking to prevent fields from becoming disconnected from their corresponding descriptions after splitting. Additionally, mixed correspondence headers, tables, and text paragraphs require accurate identification of paragraph boundaries to avoid loss of cross-block logical associations, which affects the accuracy of subsequent investment research retrieval.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_TIMEOUT`	`300–600 seconds`	Adapts to large-sized regulatory compilation documents uploaded individually or in batches, preventing parsing interruptions due to timeout mid-process
`chunk_size`	`800–1200 characters`	Preserves complete logical units of policy clauses and enterprise analysis in investment research documents, avoiding semantic damage from improper splitting
`chunk_overlap`	`150–200 characters`	Retains cross-block contextual associations, preventing dedicated fields such as regulatory document numbers and regional codes from becoming disconnected from their corresponding descriptions
`enable_table_parse`	`enabled`	Correctly extracts cell correspondence from interbank data tables and financial report tables, preventing information confusion after plain text conversion
`max_upload_size`	`500 MB`	Adapts to batch upload requirements for quarterly/annual investment research document compilations
`parse_html_support`	`Javadoc format`	Supports parsing HTML interface documents generated by Javadoc, preserving structured content such as interface parameters and descriptions

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

Three Common Configuration Errors

Symptom: After uploading documents using the chunk-mode pushdata API, the interface displays an "Indexing" status for an extended period. Cause: The PARSE_FILE_TIMEOUT parameter is not configured, or its value is set too short. This causes large document parsing to fail to complete before being interrupted, triggering a retry loop that leads to indexing stagnation.
Symptom: After uploading a PDF document, the parsed result does not include OCR text or annotation information associated with images. Cause: Image parsing-related configurations are not enabled, or the chunking rule skips text extraction logic for image regions.
Symptom: After uploading HTML interface documents generated by Javadoc, the knowledge base does not extract valid content such as interface parameters and descriptions. Cause: The parse_html_support configuration is not set to Javadoc format, causing HTML tags to be filtered directly without extracting structured content.

How to Verify Configurations Are Set Correctly

Upload a typical document from daily investment research scenarios, check if the parsing task completes within a reasonable duration, and adjust the PARSE_FILE_TIMEOUT parameter as needed.
Upload an interbank data document containing tables, verify that the table structure in the parsed result is complete, and confirm that enable_table_parse is enabled.
Upload a Javadoc-format HTML interface document, check if structured interface content is extracted in the knowledge base, and confirm that the parse_html_support configuration matches the document type.
Upload a PDF document containing images, check if text information associated with images is included in the parsed result, and confirm that image parsing-related configurations are enabled.

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.