Document Parsing and Chunking for General Equipment

What the data for this category looks like

Marketing content data for general equipment primarily comes from parameter manuals from enterprise product R&D departments, selection guides and application case documents organized by the marketing team. Data updates follow new product launches, parameter adjustments, or changes to marketing strategies, with no fixed schedule. Document structures include structured parameter blocks, quantified indicators with units, long-text application scenario descriptions, and multi-page selection comparison tables. Fields are tightly bound to units, and parameter units vary across equipment categories; for example, power uses kW as the unit, and dimensions use mm as the unit.

Constraints on Document Parsing and Chunking

Structured parameters in general equipment documents are tightly bound to units. During parsing, the association between parameters and units must be accurately preserved to avoid parameters becoming separated from their units after chunking. A large number of selection comparison tables exist in documents. During chunking, the row and column logic of tables must be retained to avoid losing comparison context after splitting. Long-text application scenario descriptions and structured parameters are often arranged adjacently. During chunking, balance must be struck between semantic completeness and chunk size to avoid splitting related content into different chunks. Document updates have no fixed cycle, and some older documents have inconsistent parameter expressions. During parsing, the integrity of original content must be preserved to avoid damaging original semantics due to format adjustments.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`chunk_size`	`800–1200 characters`	General equipment documents include structured parameters and long-text scenario descriptions. This range balances parameter integrity and semantic coherence
`chunk_overlap`	`100–150 characters`	General equipment parameters often span chunks. Overlapping sections preserve parameter context and avoid semantic breaks
`parse_table_mode`	`Merge into continuous text chunks`	Most parameter tables in general equipment documents are used for selection comparisons. Merging preserves complete parameter comparison logic and avoids chunking-induced fragmentation
`preserve_unit`	`Enabled`	General equipment parameters rely on units such as kW and mm. Enabling this preserves the binding relationship between parameters and units, improving indexing accuracy
`max_chunk_count_per_file`	`Calibrated via actual testing`	A single general equipment file may contain multiple selection manuals. Adjust based on actual file size to avoid exceeding per-file chunking limits
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Large general equipment selection manuals have many pages and take longer to parse. This duration covers parsing requirements for most files

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

Three Common Mistakes

Symptom: A Cannot redefine property: toString error is thrown during parsing. Cause: The parse_table_mode parameter is not configured correctly, causing a conflict between table parsing logic and built-in text processing logic.
Symptom: A system error is triggered after the chunk count for a single file exceeds 3000. Cause: The threshold for the max_chunk_count_per_file parameter is not adjusted, exceeding the platform's default limit.
Symptom: The same CSV file cannot be chunked normally after a version upgrade. Cause: The new version adjusted the default configuration for preserve_unit, and corresponding parameter settings were not updated synchronously.

How to Confirm Proper Configuration

Upload a single small general equipment parameter table, review the parsed chunk results, and confirm that parameters and units are not split apart.
Import a document containing multi-page selection tables, check that the complete table comparison logic is retained after chunking, with no content fragmentation.
Adjust the chunk_size parameter, verify that the chunk count meets expected values, and avoid unexpected threshold breaches.
Trigger a parsing task, check backend logs, and confirm that no toString-related redefinition errors are present.

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.