What the data for this category looks like
Optical module intelligent due diligence report data mainly comes from original manufacturer datasheets, industry standard specifications, supply chain quotation documents, and third-party test reports. Original manufacturer documents are updated with new product launches and specification iterations. Industry standards are revised quarterly or annually. Supply chain quotations are updated with fluctuations in market supply and demand. Most document structures combine structured tables with parameter description paragraphs. Core fields include transmission rate, operating temperature range, power consumption, package size, and interface type, with corresponding units of Gbps, ℃, W, mm, and interface model respectively.
What constraints these characteristics impose on document parsing and chunking
Optical module documents have a high proportion of structured content, parameters are tightly bound to units, source structures vary significantly, and update frequencies are uneven. This creates multiple constraints for parsing and chunking. The high proportion of structured tables means conventional text chunking tools can easily damage the semantic association of parameters within tables. The complete row and column structure of tables must be preserved. Core parameters are closely bound to their units, so chunking must avoid splitting parameter values and their corresponding units into different content blocks. Document structures vary significantly across different sources. The layout logic of original manufacturer datasheets and supply chain quotation sheets differs greatly, so multi-template adaptive parsing must be supported. Frequently updated documents need to be associated with version identifiers to ensure chunking metadata matches the document version one-to-one and avoid mixing old and new data.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | The core parameters of optical module documents are often paired with brief descriptions. This range retains the complete context of a single set of parameters and avoids semantic fragmentation |
chunkOverlap | 100–150 characters | Optical module parameter descriptions have cross-paragraph associations. Setting overlapping chunks ensures contextual coherence during retrieval |
parseTableMode | structured_only | Optical module documents use structured tables as their core information carrier. This mode fully retains the semantic structure of table rows and columns |
parseKeepUnit | true | Optical module parameters are closely bound to their units. Retaining units ensures complete parameter semantics within chunks |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | A single consolidated due diligence report may contain multiple documents. This duration covers standard parsing times and avoids timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 500 MB | Covers standard upload scenarios for multiple original manufacturer datasheets and consolidated documents, preventing interception due to oversized files |
The parameter values provided on this page are common recommended starting points for determining configurations. 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 settings.
Three common mistakes
- Phenomenon: When executing a PDF parsing task,
{"detail":"Error message"}is returned, and the container logs containMarker dependency missing. Cause: The Marker dependency file directory was not mounted correctly during Docker deployment, or the corresponding environment variable pointing to the parsing tool path was not configured. - Phenomenon: Structured tables in chunking results are split into scattered single-line text. Cause:
parseTableModewas not set tostructured_only. The default plain text parsing mode damages the row and column semantic associations of tables. - Phenomenon: After chunking an XLSX-format optical module quotation sheet, multiple header rows and data rows are incorrectly split. Cause: Adaptive table parsing was not enabled for XLSX documents. The default row-wise splitting causes headers to lose association with their corresponding data.
How to confirm configurations are set correctly
- Upload an original manufacturer optical module datasheet, view the parsed chunk list, and confirm that table content is displayed as complete blocks without being split into scattered text.
- Randomly select a chunk of content, check whether core parameters and their corresponding units are bound within the same block, and confirm that the unit retention configuration is effective.
- Upload a consolidated due diligence report that exceeds the standard single-document size, confirm that the task is not intercepted due to file size, and verify that the upload limit configuration is effective.
- View the task logs, confirm that the parsing time does not exceed the preset timeout threshold, and verify that the timeout configuration is reasonable.
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.