Data Profile for This Category
Data sources for glass industry investment research mainly include monthly/annual supply and demand reports released by industry associations, quality inspection reports and annual reports of glass manufacturers, spot and futures price data from futures exchanges, patent documents from the National Intellectual Property Administration, and parameter test documents from building material testing institutions. Update rhythms vary by data type: supply and demand reports are updated monthly, price data is updated daily, annual reports are updated annually, and patent documents are collected irregularly. Document structures include structured tables (such as composition ratio tables, quality inspection parameter tables), professional parameter paragraphs with units (such as annealing temperature, elastic modulus), and long-text process descriptions. Units covered include mm, g/cm³, ℃, yuan/ton, and others.
Constraints on Document Parsing and Chunking
The multi-type structure and professional parameter characteristics of glass industry investment research documents impose multiple constraints on parsing and chunking. First, significant structural differences exist across document types, requiring adapted differentiated logic for table extraction, parameter recognition, and long-text segmentation. Second, professional parameters with units risk losing context if chunked improperly, so the association between parameters and their units must be retained. Third, large industry yearbooks and patent collections have substantial file sizes, requiring adaptation to timeout and upload limits for large file parsing. Fourth, nested structures in complex tables (such as hierarchical tables for component proportions) require precise extraction to avoid information omission.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Glass industry documents contain professional parameter paragraphs and process descriptions. This range balances context integrity and chunk granularity, avoiding reduced retrieval efficiency from overly long chunks and broken professional term associations from overly short chunks. |
chunk_overlap | 150–200 characters | Professional terms in glass documents (such as "annealing temperature", "elastic modulus") often appear across chunk boundaries. The overlapping range covers the context before and after terms, avoiding context breaks during retrieval. |
PARSE_TABLE_MODE | detailed | Glass industry documents include structured tables such as composition ratio tables and quality inspection parameter tables. Detailed mode retains units and nested structures within cells, avoiding parameter loss caused by simplified parsing. |
UPLOAD_FILE_MAX_SIZE | 500 MB | Meets batch upload requirements for large documents such as industry yearbooks and patent collections, avoiding parsing failures caused by exceeding file size limits. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large multi-page PDF documents requires extended processing time. This threshold prevents parsing interruptions from mid-process timeouts. |
enable_unit_recognition | true | Glass industry documents contain a large number of professional parameters with units. Enabling this setting automatically associates parameters with their corresponding units, avoiding information errors caused by separated parameters and units. |
The parameter values provided on this page are common starting points for configuration. Actual values are influenced by material form, data volume and business rules. Specific issues require targeted analysis. Testing on local samples is recommended before finalizing configuration values.
Three Common Configuration Errors
- Phenomenon: No table content or missing table cell content appears in parsed results after uploading a PDF. Cause: The detailed parsing mode for
PARSE_TABLE_MODEis not enabled. The default simplified mode loses nested structures and unit information from tables in the glass industry. - Phenomenon: A 408 status code is returned when calling the parsing script. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. Parsing large glass industry yearbooks takes longer than the default threshold, triggering a timeout error. - Phenomenon: A locally deployed PDF parsing tool functions normally, but no parsing option appears when uploading to the FastGPT knowledge base. Cause: The PDF parsing plugin is not enabled in FastGPT configuration, or the plugin version is incompatible with FastGPT 4.9.
How to Verify Correct Configuration
- Upload a single-page PDF of a glass quality inspection report. Check if all quality inspection parameters and their corresponding units are included in the parsed results, and confirm that the table structure is complete.
- Adjust the
chunk_sizeandchunk_overlapparameters. Check if consecutive process description paragraphs in chunking results are not truncated, and verify the integrity of context association. - Call the parsing interface. Check if recognition markers for parameter units are included in the returned results, and confirm that the association between professional parameters and their units is active.
- Upload a large industry yearbook PDF. Check that the parsing process does not trigger a timeout, and confirm that upload and timeout threshold configurations match current document requirements.
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.