What the Data for This Category Looks Like
Data sources for publishing intelligent due diligence reports include publishing house topic proposal archives, copyright authorization contracts, past publication review reports, and industry compliance public documents. Updates are generated on demand during the topic approval phase, with bulk updates of existing archives performed quarterly. Document structures are mostly multi-chapter nested, including copyright page information, content summaries, author qualification certificates, and market analysis annexes. Fields include standardized identifiers such as ISBN, print run, distribution cycle, and edition number.
Constraints on Document Parsing and Chunking
Multi-chapter nested structures require parsing tools to support hierarchical recognition, preventing incorrect splicing of cross-chapter content. Standardized fields such as ISBN and print run need accurate extraction, and the binding relationship between fields and corresponding content must be retained during chunking. Format differences between on-demand generated temporary reports and existing archives require parsing tools to support multiple input formats including DOCX, PDF, and scanned document OCR. Fields with time attributes such as distribution cycle and edition number must be associated with the corresponding chapter during chunking to avoid context misalignment. Large volumes of bulk-updated existing archives require controlling the load per chunk during chunking, avoiding timeout during subsequent vector database insertion.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Publishing due diligence reports often contain long text chapters and standardized fields. This range balances content completeness and vector retrieval accuracy |
chunk_overlap | 100–150 characters | Multi-chapter nested structures require retaining contextual associations to avoid cross-chunk information breaks |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Bulk parsing of existing archives takes a long time, this setting avoids interrupting the parsing process due to timeout |
ALLOWED_EXTENSIONS | ["docx", "pdf", "jpg", "png"] | Publishing due diligence reports include official documents and scanned attachments, this covers common input formats |
max_context | Top 3 entries | Relevant content of due diligence reports is mostly concentrated in copyright and market analysis modules, a small number of retrievals can cover core relevant information |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Bulk existing archives have large single-package data volumes, this setting adapts to bulk upload requirements |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and testing on independent samples is recommended prior to finalization.
Three Common Mistakes
- Phenomenon: Chunking results show chapter misalignment or redundant content, and the displayed chunk length in the interface does not match the configured value. Cause: No custom delimiter adapted to the publishing report's hierarchical structure is configured, and the default delimiter cannot correctly split multi-chapter nested documents.
- Phenomenon: When using different vector models locally and on the server, chunked documents cannot be retrieved normally, and context references do not render Markdown formatting. Cause: Original text format markers are not retained during chunking, or different vector models have different processing logic for text encoding, leading to abnormal retrieval results.
- Phenomenon: After upgrading to version v4.8.13, incoming links cannot parse document content, the parameter passing logic has not changed but the result is empty. Cause: This version adds link validity verification logic, and internal publishing document links not included in the whitelist cannot be pulled normally.
How to Verify Proper Configuration
- Upload a single typical publishing due diligence report, check if the parsed chapter hierarchy matches the original document, and verify if the chunk length matches the configured value.
- Test input files of different formats (DOCX, PDF, scanned images) to confirm that all formats allowed by the configuration can be parsed normally.
- Pass an internal link configured in the whitelist, verify that the parsed result contains complete document content, and confirm that the link verification logic is working.
- Switch between different vector models, test the retrieval effect of chunked documents, and confirm that the encoding logic and model adaptability meet 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.