What Data for This Category Looks Like
Data related to chemical raw materials mainly comes from industry research reports, Material Safety Data Sheets (MSDS), monthly production capacity statistics reports, customs import and export data documents, spot price monitoring weekly reports, and other sources. Data sources cover public industry institution reports, enterprise public documents, and third-party monitoring platforms. Update cycles vary significantly: research reports are released irregularly, monthly and weekly monitoring documents follow fixed update schedules, and customs data updates monthly. Document formats include PDF, Word, Excel, and web pages. Structures range from the 16 fixed sections of MSDS to free-form technical analysis paragraphs. Fields include CAS number, purity (%), production capacity (10,000 tons/year), price (yuan/ton), and others. Some documents include structured tabular data.
Constraints Imposed by These Characteristics on Document Parsing and Chunking
Documents from multiple sources and formats require parsing tools to support cross-format compatibility, to avoid data loss due to format differences. MSDS with fixed section structures require precise extraction of specific module content, and cannot use generic paragraph splitting. Numeric fields with units, such as production capacity and price, must retain contextual associations, to prevent separation of values and units after chunking. Structured tabular data must retain row and column correspondence, otherwise logical associations of statistical data such as production capacity and price will break. Frequently updated monitoring documents require more efficient parsing processes, to avoid delays that disrupt knowledge base synchronization rhythms. Technical paragraphs dense with professional terminology require reasonable control of chunk granularity, to prevent splitting that destroys the integrity of professional expressions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Chemical raw material documents often contain large tables or research reports exceeding 100 pages. The default timeout duration is insufficient to complete full parsing |
chunk_size | 800–1200 characters | Professional paragraphs for chemical raw materials are relatively long. Too small a chunk size will split professional terms and associated data, while too large a size will affect recall accuracy |
CUSTOM_READ_FILE_URL | Configure intranet file server address | Local deployment cannot directly access public network files. This parameter can be used to specify the internal file pull path |
SIMILARITY_THRESHOLD | 0.75–0.85 | Professional terminology for chemical raw materials has high similarity requirements. A threshold that is too low will introduce irrelevant content, while a threshold that is too high will fail to recall relevant segments |
RECALL_TOP_N | Top 8–10 entries | Investment research analysis requires multi-dimensional relevant segments. Too few entries will miss key data, while too many will increase the context processing burden |
table_parse_enabled | Enabled | Retain the row and column association of structured tables such as production capacity and price, to avoid data logic confusion after plain text conversion |
The parameter values provided on this page are all conventional recommendations, used as a starting point 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 settings.
Three Common Mistakes
- Configuring
CUSTOM_READ_FILE_URLwith a public network address without enabling cross-domain permissions. The symptom is a 403 error returned during parsing. The cause is that cross-domain rules for the file server are not configured, preventing the target file from being pulled. - Uploading scanned or encrypted PDF documents results in parsing failure. The symptom is empty parsing results or only a small amount of extracted text. The cause is that the OCR parsing switch is not enabled, or document encryption restricts text extraction permissions.
- Setting chunk length too small leads to recall results where "purity" and "99.5%" appear as separate segments. The cause is that numeric fields with units are split, destroying complete data association.
How to Confirm Correct Configuration
- Upload a standard MSDS document, and verify that parsing results fully extract fixed section content such as "Hazard Summary" and "Physical and Chemical Properties".
- Upload an Excel document with multi-row and multi-column production capacity statistics, and check that parsed text retains the row and column correspondence of the original table.
- Upload an encrypted PDF document that can be opened locally, and confirm that the parsing status shows success with no empty fields.
- Upload a 200MB or larger industry research report PDF, and verify that parsing duration does not exceed the preset timeout duration.
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.