Data Characteristics in This Category
Documentation for solid tumor products primarily includes clinical trial reports, drug inserts, research papers, regulatory approvals, patent documents, and internal R&D reports. Update frequencies vary; drug inserts and approvals typically update upon approval or significant changes, while research papers publish continuously. Document structures generally contain extensive specialized terminology, abbreviations, dosage units (e.g., mg/kg, μg/mL), time units (e.g., days, weeks, months), and complex tabular data. Clinical trial reports often include multi-stage, multi-group patient data, covering efficacy, safety, pharmacokinetics, and other detailed information. Field names are highly standardized, but slight variations in phrasing may exist across different document sources.
Constraints Imposed by These Characteristics on "Document Parsing and Chunking"
The complexity of solid tumor product documentation places specific demands on document parsing and chunking. Extensive specialized terminology and abbreviations require high-precision text recognition and semantic understanding to prevent mis-chunking or information loss. Diverse measurement units and complex numerical data necessitate effective context preservation during chunking, ensuring the association between numerical values and units remains intact. Tabular data requires special handling, as conventional text chunking can disrupt the logical relationships between rows and columns. Furthermore, irregular document updates demand flexible incremental updates and version management for the knowledge base to prevent old and new information from mixing. The sparse distribution of key information in long documents also requires chunking strategies to effectively capture core conclusions and critical data points.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk size | 500-800 characters | Retain sufficient context; prevent overly large chunks from impacting retrieval. |
Overlap Length | 100-150 characters | Ensure semantic coherence at chunk boundaries; reduce information loss. |
EnabledTable Recognition | Yes | Process complex tabular data in clinical trial reports and inserts. |
Paragraph Separator | \n\n | Adapt to common paragraph division in scientific documents. |
ParsingTimeout | 600 seconds | Address parsing requirements for large clinical trial reports or complex patent documents. |
Max File Size | 200 MB | Allow uploading PDF documents containing numerous charts and tables. |
Common Pitfalls
- Parsing status shows "failed" or "error," with
invalid encodingin logs: Document encoding does not match the parser's expectation, common for non-UTF-8 encoded PDF or Word files. - Key data points missing or units incorrect in knowledge base responses: Chunking strategy failed to effectively process numerical values with units, leading to values and units being in different chunks, or tabular data being incorrectly split.
- Long unresponsiveness or timeout reported after uploading large PDF files:
ParsingTimeoutorMax File Sizeconfiguration is too low, failing to accommodate the generally large size of solid tumor documents.
How to Verify Correct Configuration
- Randomly select and upload multiple solid tumor documents from different sources (e.g., clinical trial reports, inserts). Check if all parsing statuses are "successful."
- Perform keyword searches on parsed documents. Verify that paragraphs containing specialized terminology, dosage units, and specific abbreviations (e.g.,
PD-1,ORR) are chunked completely and accurately. - For documents with complex tables, examine the representation of table content in the knowledge base. Ensure that table row and column relationships and data integrity are preserved. This can be verified by querying specific data within the table.
The values provided are common starting points. Measure them against your own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.