Data Characteristics
Site Management Organization (SMO) quality documentation includes Standard Operating Procedures (SOPs), work instructions, training records, quality control reports, audit reports, ethics review documents, and Case Report Form (CRF) completion guidelines. These documents are typically in PDF, Word, or scanned image formats. They contain extensive specialized terminology, acronyms, and numbering schemes. Update frequency is relatively fixed: SOPs and instructions are usually revised annually or based on regulatory changes. Quality control and audit reports are generated per project or cycle. Document content structure varies. SOPs have clear chapters and clauses, while training records may contain free-text questions and answers. Common fields include investigator names, research institutions, version numbers, effective dates, revision histories, regulatory references, operating procedures, and record form numbers.
Constraints on Multiturn Conversation and Prompts
The specialized and highly interconnected nature of SMO quality documentation demands high accuracy and coherence in multiturn conversations. Extensive specialized terminology and acronyms require the RAG system to have robust semantic understanding and retrieval capabilities. This prevents ambiguity from leading to irrelevant answers. The coexistence of structured and unstructured document content requires flexible text segmentation strategies to ensure critical information remains intact. The periodic update frequency necessitates convenient version management and incremental updates for the knowledge base. This ensures conversations rely on the latest effective documents. Furthermore, cross-referencing between documents is frequent; for example, SOPs cite specific regulatory provisions or instructions. Multiturn conversations must track these references to provide complete contextual information. This addresses the need for engineers to trace compliance details during inspections.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk size (Chunk Size) | 500–800 characters | Balances SOP clause completeness with question-answering granularity, avoiding redundancy in long paragraphs. |
Recall count (Retrieval Count) | 5–8 chunks | Ensures coverage across multiple source documents while managing the context window size. |
Similarity threshold (Similarity Threshold) | 0.75–0.85 | Reduces incorrect retrieval of specialized terms, improving matching accuracy. |
Rerank result count (Reranked Count) | 3 chunks | Focuses on the most relevant content, reducing the model's burden of processing irrelevant information. |
maxContext | 4096 tokens | Balances context retention with model processing capability. |
LLM Model Version | Latest stable version | Leverages the latest model's understanding of specialized domain knowledge. |
Common Pitfalls
- The conversation states "cannot find relevant information" or provides generic answers. This occurs when knowledge base chunking granularity is too large, diluting critical information, or when the retrieval count is too low to cover relevant documents.
- When asked about specific operating procedures in an SOP, the answer contains outdated or incorrect version content. This happens when the knowledge base is not updated promptly or version management is misconfigured, leading to the retrieval of non-current document versions.
- When a user copies and pastes conversation content into another application, significant formatting loss occurs. This is because the output mode is not configured for Markdown format, or the output Markdown syntax is incompatible with the target application.
Validation Steps
- Simulate common compliance questions with core SOPs and instructions through multiturn conversation tests. Check if answers accurately cite original document text and trace back to the correct version number and effective date.
- Randomly select specialized terms and acronyms from documents and query them in conversations. Observe if the system correctly identifies them and provides accurate explanations or associated documents.
- After a knowledge base update, compare key modifications between old and new document versions. Verify if the conversation system prioritizes retrieving and using the latest effective version information.
Note: The values provided are common starting points. Measure them against specific 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.