Data Characteristics for this Category
CDMO industry policy and SOP documents originate primarily from internal Quality Management Systems (QMS), project-specific agreements, and regulatory guidelines (e.g., GMP, ICH). Document update frequencies vary. General policy documents are typically revised annually or biennially. Project-specific SOPs or batch records may update frequently with project progress. Document structures usually follow standardized chapter numbering and hierarchical organization, including fields like title, version number, effective date, revision history, main content, and attachments. Content is mostly plain text, tables, flowcharts, and some images. Core fields include "Document Number," "Version Number," "Effective Date," "Reviser," and "Revision Summary." Units involve production batches, measurement units (e.g., mg/mL, kPa), and time units (e.g., min, h).
Constraints Imposed by these Characteristics on Citation and Traceability
The hierarchical structure and version management of CDMO policy and SOP documents require citations to be precise, down to specific sections or even paragraphs, to ensure effective traceability. Frequent updates necessitate efficient document ingestion and indexing mechanisms for the knowledge base. This prevents citing outdated or superseded policy versions. Specific fields within documents (e.g., "Document Number," "Version Number") must be effectively extracted and linked to citation information. This supports users in quickly locating original files. Additionally, due to extensive technical jargon and abbreviations, RAG recall needs accurate semantic matching. This avoids citation failures or miscitations caused by terminology differences. The ability to understand flowcharts and tables directly impacts accurate citation of operational steps or specifications.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk size (Segment Length) | 800–1200 characters (characters) | Retains sufficient context while preventing excessively long segments that lead to information redundancy or imprecise recall. This accommodates typical paragraph lengths in policy documents. |
Chunk Overlap Length (Segment Overlap Length) | 100 characters (characters) | Ensures contextual continuity between segments, improving the robustness of cross-segment information recall. This addresses the coherence of policy descriptions. |
Recall count (Recall Count) | Top 5 entries (top 5) | Balances recall scope with large model processing load. Core information for policy Q&A is usually concentrated in a few relevant paragraphs. |
Similarity threshold (Similarity Threshold) | 0.75–0.85 | Reduces the risk of fabricated citations. Ensures recalled content is highly relevant to the query semantics. This meets the strict requirements of policy Q&A. |
Citation Metadata Fields | Document Number, Version Number, Effective Date | Ensures traceability and accuracy of citation information. This fulfills the strict document version requirements of CDMO quality management. |
Max Context Token Count | 4096 | Adapts to the context window of mainstream large models. Ensures recalled content can be fully processed and avoids truncation of critical citation information. |
Three Common Mistakes
- The large model response includes "Citation Mark: [1]" but the knowledge base lacks corresponding citation content. This usually occurs when recall results are disconnected from large model generation. The knowledge base fails to effectively map recalled segments to the large model's output citation numbers.
- The answer content does not match the policy document version, citing an old or obsolete SOP. This happens when the knowledge base fails to refresh its index promptly after document updates or lacks an effective version management mechanism.
- A user queries an operational procedure, but the returned citation points to an irrelevant policy document. This indicates that the similarity of recall results is too low, failing to accurately identify the semantic connection between the query intent and document content.
How to Confirm Proper Configuration
- Select a recently revised policy document. Ask about key changes within it. Check if the answer cites the latest document version and accurately traces back to the revised sections.
- Randomly select specific sections from multiple policy documents and ask questions. Verify if the document number, version number, and effective date cited in the answer exactly match the original document.
- Test with complex process questions containing technical terms or abbreviations. Evaluate whether the recalled segments accurately include relevant definitions or steps. Verify the precision of citation locations by observing the completeness of
Citation Metadata Fields.
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.