What Data for This Category Looks Like
Cybersecurity research report data primarily comes from public security communities, official announcements from compliant regulatory bodies, and vendor-developed security analysis reports. Update frequency adjusts in real time alongside security event disclosures. Industry-specific research reports update monthly or quarterly. Document structures include standardized metadata fields and technical content. Metadata fields include CVE numbers, disclosure dates, risk levels, affected components, and more. Technical content covers sections such as attack vectors, remediation solutions, and affected asset scopes. Some documents include structured vulnerability list tables. Supported document formats include PDF, Word, web pages, and other common types. Some public reports have anti-crawling restrictions.
Constraints on Document Parsing and Chunking
First, data includes structured tables and unstructured technical paragraphs. The parsing workflow must support table recognition and structured extraction. It must avoid splitting table content into meaningless fragmented text. Second, metadata fields have unique identifiers and classification attributes. After parsing, extract full metadata and associate it with corresponding chunks. This enables subsequent filtering and recall of results by risk level and disclosure time. Third, document update frequency is high and formats vary. The parsing workflow must adapt to common security report formats. It must also preserve document chapter hierarchies. This avoids breaking contextual coherence of associated content such as attack vectors and remediation solutions. Additionally, some public reports have anti-crawling mechanisms. The parsing workflow must support adaptive configurations for link crawling. This ensures complete acquisition of document content.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Cybersecurity research reports contain large numbers of structured vulnerability lists. Enabling this setting preserves table structure and field correspondence |
CHUNK_MAX_SIZE | 800–1200 characters | Balances contextual completeness of technical paragraphs and precision of single-chunk recall |
PARSE_METADATA_FIELDS | ["cve_id", "disclosure_date", "risk_level"] | Extracts core metadata from reports, enabling subsequent filtering of recall results by risk level and time range |
PARSE_TIMEOUT_SECONDS | 600 seconds | Large security research reports contain multi-page technical details. Sufficient time is required to complete full parsing |
CHUNK_SPLIT_BY_HEADING | Enabled | Cybersecurity research reports organize content by chapter. Splitting chunks by headings preserves chapter relevance |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to the length of large security white papers released by vendors, supports parsing of large uploaded files |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: After updating the parsing tool to version 4.8.13, passing a public cybersecurity research report link returns only the page title as the parsing result, with no document body content. The submitted parameters are identical to prior use. Cause: The
PARSE_LINK_CONTENT_ENABLEparameter is not enabled, or the site hosting the link has anti-crawling mechanisms enabled. This prevents the parsing tool from retrieving complete content. - Phenomenon: The chunk ID field in the knowledge base page cannot be selected or copied. Direct extraction of chunk identifiers is not possible. Cause: The interface does not enable copy permission for this field, and the corresponding configuration item is not activated. This prevents chunk identifier copying.
- Phenomenon: Custom-split document chunks are automatically deleted, leading to disordered original index order. Cause: Global deduplication is enabled by default. The
PARSE_DEDUP_DISABLEparameter is not configured, so the system automatically removes duplicate chunks.
How to Verify Correct Configuration
- Upload a standard-format cybersecurity research report. Check if structured tables in the parsing result fully preserve fields such as vulnerability number and risk level. Verify that table parsing configuration is active.
- View the list of extracted chunk metadata. Confirm that extracted fields match the content of the preset
PARSE_METADATA_FIELDS. Verify that metadata extraction configuration is correct. - Upload research reports of varying lengths. Observe if parsing triggers timeout errors. Verify that the timeout configuration meets document size requirements.
- Select the chunk ID field in the knowledge base page. Attempt to copy and paste it into another text tool. Verify that the copy function operates correctly.
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.