Document Parsing and Chunking for Cybersecurity Investment Research Knowledge Base Construction

Cybersecurity investment research data sources include public vulnerability databases, threat intelligence reports, penetration testing exercise logs

What this category of data looks like

Cybersecurity investment research data sources include public vulnerability databases, threat intelligence reports, penetration testing exercise logs, compliance documents, and vendor technical white papers. Data update rhythms cover three categories: real-time (zero-day vulnerability disclosure), scheduled (vendor security weekly reports), and emergency (high-risk vulnerability announcements).

Document structures include structured entries (such as vulnerability details with CVE IDs and CVSS scores), semi-structured penetration analysis reports (including attack paths and sample hashes), and unstructured technical documents (long text, code snippets, and log snippets). Core fields include CVE ID, CVSS score, affected component version, and sample hash value. Units include score values, hexadecimal hash strings, and timestamps.

What constraints do these characteristics impose on the document parsing and chunking process?

Structured vulnerability entries require accurate extraction of fixed fields, without interference from unstructured content. Semi-structured penetration reports must be split by attack phase or paragraph, without breaking the logical coherence of attack paths. Real-time updated vulnerability data requires the parsing process to have low latency, to avoid task interruptions due to timeouts. Strong format fields such as sample hashes and component versions must retain their original encoding, to prevent retrieval failures caused by automatic escaping. Mixed-format documents require adaptation to multiple parsing logics, with no unified chunking rules available.

How to set configurations

Configuration ItemRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS120 secondsAdapt to the parsing time of long-text penetration reports and multi-page PDFs, avoid task interruptions due to timeouts
chunk_size800–1200 charactersBalance the accuracy of vulnerability field extraction and the integrity of investment research context, avoid splitting that breaks attack path logic
chunk_overlap100–150 charactersRetain associated information about vulnerability impact scope across chunks, prevent context breaks
UPLOAD_FILE_MAX_SIZE2000 MBSupport uploads of large penetration testing exercise log archives and full vulnerability library documents
ENABLE_MARKDOWN_PARSEEnabledPreserve code blocks and table formats in technical documents, to facilitate subsequent investment research retrieval
FORMULA_PARSE_MODETriggered by contentAdapt to the parsing needs of a small number of CVSS score calculation formulas in security documents, avoid unnecessary overhead

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 individual analysis. It is recommended to test on your own samples before finalizing settings.

Three common errors

  • An error occurs when running docker run --gpus all -itd -p 7231:7231 to start marker_images:v0.1. The cause is that the local environment's CUDA version is incompatible with the image version, leading to failure to load GPU parsing dependencies.
  • Clicking chunk preview for PDF documents in the knowledge base returns "Unable to read the file content". The cause is that the document has encryption permissions or embeds non-standard fonts, causing the parsing engine to fail to extract text content.
  • Syncing PPT and PDF documents from a connected external knowledge base fails. The cause is that the open interface of the connected platform has not been configured with document reading permissions, or the document is an encrypted PPT, preventing the parsing engine from pulling content.

How to confirm configurations are properly set

  • Upload a mixed document containing CVE entries and penetration test log fragments, and verify that the parsed text has completely extracted core fields.
  • View parsing task logs, confirm that parsing time does not exceed the PARSE_FILE_TIMEOUT_SECONDS configuration value, and no timeout errors occur.
  • Trigger a sync task for the connected external knowledge base, check that PPT and PDF documents appear in the knowledge base's document list, and can preview chunked content normally.
  • Compare parsing effects between versions 4.8.12 and 4.9.0, confirm that the formula parsing function returns results normally in long-text scenarios, with no abnormalities.

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.