Document Parsing and Chunking for Condiment Investment Research Knowledge Base Construction

Condiment category data sources include public industry research reports, listed company financial reports, raw material wholesale market quotation

What the data for this category looks like

Condiment category data sources include public industry research reports, listed company financial reports, raw material wholesale market quotation documents, offline channel sales performance ledgers, and more. Update frequencies cover daily (raw material prices, real-time sales data), monthly (channel sales reviews), and quarterly/annual (company financial reports, annual industry reports). Document structures are mostly long text with nested tables. Some quotation sheets are pure numerical tables, while research reports include abstracts, core data tables, and trend analysis paragraphs. Fields include production capacity, gross profit margin, unit product selling price, raw material procurement cost, and others. Units include kilogram, ton, yuan/500ml, batch code, and more.

What constraints do these characteristics impose on document parsing and chunking

Documents with a high proportion of nested tables risk having standard parsing modules split cell contents, losing logical connections across cells. Daily updated raw material data documents have a large number of entries per batch; batch parsing increases single-task duration and triggers timeout limits. Fields within the category use diverse units. For example, unit product selling price uses both yuan/kilogram and yuan/bottle. Chunking must retain the binding relationship between fields and units, otherwise subsequent retrieval cannot match semantics correctly. Analysis paragraphs linked to tables in long research reports cannot be forcibly split from their corresponding tables during chunking. Doing so will destroy contextual logic and reduce the accuracy of subsequent retrieval.

How to Configure Parameters

Configuration ItemRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS600 secondsAddress parsing time for batch raw material quotation documents, avoid single-task timeout interruptions
chunk_size800–1200 charactersAdapt to the paragraph length and table content scale of condiment research reports, avoid splitting linked analysis and tables
chunk_overlap100–150 charactersRetain field connections across chunks, such as contextual continuity for unit product selling prices
enable_table_parseEnabledRetain cell connections for nested tables, avoid incorrect splitting of core data tables in research reports
UPLOAD_FILE_MAX_SIZE500 MBAdapt to batch uploads of company financial report collections and annual research report packages, avoid exceeding upload limits for single operations
similarity_threshold0.75Filter low-match non-category-related document fragments, improve investment research retrieval accuracy

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

Three Common Configuration Mistakes

  • Parsing interruptions occur when uploading a large number of raw material quotation documents in batches, and recovery fails after restarting the container. The cause is failure to adjust the PARSE_FILE_TIMEOUT_SECONDS parameter: single-task time exceeds the default threshold and triggers forced termination, and no breakpoint resume mechanism is configured.
  • After uploading a PDF-format company financial report, the table content in the parsing result is empty or formatted chaotically. The cause is failure to enable the enable_table_parse configuration: the default parsing module cannot recognize the cross-cell logic of nested tables.
  • The model fails to answer questions based on the uploaded condiment research report content, and retrieval results do not match the corresponding document fragments. The cause is that chunk_overlap is set too small, causing chunking to lose the contextual connection between analysis paragraphs and linked tables in the research report.

How to Verify Proper Configuration

  • Upload a single condiment research report with more than 100 pages, check the parsing task time logs to confirm no timeout errors are triggered.
  • Export the parsed chunked text, check whether the cell content of nested tables is fully retained without splitting or loss.
  • Search preset category keywords, verify that the retrieval results include chunked fragments of the corresponding documents.
  • Upload a batch document package, check that the upload queue proceeds normally with no limit-exceeded errors.

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.