Document Parsing and Chunking for Optical Module Financing

What data in this category looks like

Data sources for optical module financing daily reports include public industrial investment and financing announcements, daily financing summaries from industry news platforms, and foreign investment information of listed companies disclosed by exchanges. The update cycle is daily, covering optical module-related financing projects disclosed on the same day. Most document structures are single articles summarizing multiple financing entries. Each entry includes fields such as vendor name, financing round, financing amount, investors, deployed optical module category, and disclosure date. Some documents include supplementary notes on optical module parameters such as transmission rate and operating wavelength. Some formats include structured tables or plain text lists. Field units include ten thousand yuan, hundred million yuan, and optical module professional parameter units such as Gbps and nm.

Constraints imposed by these characteristics on document parsing and chunking

Diverse document formats require the parsing process to adapt to plain text, PDF tables, web page layouts and other forms to avoid field extraction deviations. The daily update requirement means the parsing process must have high timeliness, so single-document parsing time must be controlled. The structure where optical module professional parameters are tightly bound to financing information requires that complete contextual association is retained during chunking, and professional terms or core financing fields cannot be split. A single document may contain dozens of financing entries. The chunk size must be balanced with information integrity to avoid cross-chunk field association breaks, while adapting to model context window limits.

Configuration Settings

Configuration Item	Recommended Value Range	Rationale
`chunkSize`	800–1200 characters	Optical module financing daily report entries contain professional parameters and financing information. This range can cover complete single entries and avoid contextual fragmentation
`chunkOverlap`	100–150 characters	Retains contextual information for cross-chunk optical module professional terms, preventing semantic loss from split terms
`parseMode`	Structured parsing prioritized	Adapts to tables or structured financing entries in daily report documents, enabling accurate extraction of standardized fields
`maxChunkToken`	1500 tokens	Matches the token conversion rules for Chinese word segmentation, preventing single chunks from exceeding the context limits of general large models
`PARSE_FILE_TIMEOUT_SECONDS`	600 seconds	Covers parsing time for single documents containing dozens of financing entries, avoiding mid-process timeout interruptions
`enableStructuredParse`	Enabled	Automatically recognizes financing entry tables in documents, reducing the workload of manual chunk adjustment

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 specific analysis, and it is recommended to test on your own samples before finalizing.

Three Common Misconfigurations

Phenomenon: Optical module professional parameters such as 400G and CWDM are truncated and split in parsed chunks. Cause: The chunkSize setting is too small, leaving insufficient space for complete financing entries with professional terms.
Phenomenon: API calls return a 413 Request Entity Too Large error. Cause: The size of a single financing daily report document exceeds the UPLOAD_FILE_MAX_SIZE limit, and the upload threshold is not adjusted in advance or the document is not split.
Phenomenon: The financing round field is empty in chunking results. Cause: The enableStructuredParse configuration is not enabled, so structured financing tables in documents cannot be automatically recognized, leading to field extraction failure.

How to Confirm Correct Configuration

Upload a test document containing multiple optical module financing information, check the parsed chunk list to confirm that each chunk contains a complete single financing entry and associated optical module parameters.
Call the document parsing API, check whether the returned chunk data includes standardized fields such as financing amount and financing round, to confirm that structured parsing is active.
Adjust the chunkSize parameter to different ranges, compare the chunking results, and confirm that professional terms or core fields are not split across chunks.
Upload a test document containing dozens of financing entries, confirm that parsing does not trigger a timeout error for PARSE_FILE_TIMEOUT_SECONDS.

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.