Data Characteristics for This Category
Phase II-III clinical trial quality documents include clinical trial protocols, investigator brochures, informed consent forms, case report forms (CRF), statistical analysis plans (SAP), and clinical study reports (CSR). Sponsors, Contract Research Organizations (CROs), and research institutions typically collaborate to generate these documents, adhering to regulatory requirements such as GCP (Good Clinical Practice). Document update frequency is relatively low, occurring mainly at key milestones like protocol amendments, data lock, and report writing. The primary file format is PDF, with some source files in Word or Excel. Content is rigorous, containing extensive medical terminology, statistical indicators, dosage units (e.g., mg/kg, μg/mL), time units (e.g., days, weeks), and specific coding systems (e.g., MedDRA, WHO-DD). Data structure is highly standardized, but text descriptions often mix free-text and structured data.
Constraints on "Source Citation and Traceability" Imposed by These Characteristics
The low update frequency of Phase II-III clinical documents means that knowledge base index rebuilding cycles can be extended, avoiding frequent full updates. The prevalence of PDF documents requires the system to have efficient and accurate PDF content extraction capabilities, including text from tables and figures. The rigor and professionalism of document content demand precise citation to the original page number, section, or even paragraph to ensure accurate traceability. The large number of specialized terms and measurement units requires the model to have a higher capability for understanding context and generating accurate citation snippets. Preventing hallucinations and ensuring that cited content is semantically identical to the original text is a core constraint. Furthermore, cross-referencing between documents is complex (e.g., CSRs cite SAPs and protocols); the system must identify and link these references to enhance traceability depth.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk size (Chunk Size) | 800–1200 characters | Accommodates the long paragraphs and high information density typical of clinical documents, preventing context loss from excessive splitting. |
Recall count (Recall Count) | top 8 | Ensures broad information coverage, addressing the complexity of clinical issues and document interdependencies. |
Similarity threshold (Similarity Threshold) | 0.75 or higher | Clinical documents demand high precision; a high threshold helps filter out semantically weak noise, ensuring citation accuracy. |
Rerank result count (Reranked Return Count) | top 4 | Selects the most relevant snippets for presentation from a high recall set, improving the relevance of final citations. |
maxContext | 8192 or higher | The specialized and rigorous nature of clinical documents requires a longer context window for the model to understand and generate accurate citations. |
Citation Display Format (Citation Display Format) | Page Number + Paragraph Number or Chapter Title + Paragraph Number | Meets regulatory requirements for fine-grained traceability, facilitating manual verification, e.g., Protocol V3.0, P.23, Paragraph 4.1.2. |
Three Common Mistakes
- Cited documents in responses do not match the original content, and system logs show
semantic drift in cited content. This occurs because the similarity threshold for vector retrieval is set too low, recalling semantically related but not entirely accurate snippets. - After exporting a workflow and importing it into another environment, a plugin referenced in the workflow reports
PluginNotFoundException. This happens when the target environment lacks the installation or correct configuration of the same version or name of the plugin. - When the knowledge base provides an answer, the citation at the end displays
no permission to operate this conversation record. This is due to improper permission configuration, where the current user or service account lacks read access to relevant conversation records or the knowledge base.
How to Confirm Proper Configuration
- Select multiple typical clinical questions. Verify that the page numbers, sections, and specific content cited in the model's answers completely match the original documents and can be manually traced back to the source files.
- Check that key terms, dosage units, and time points in the answer are accurate and consistent with the original document, without numerical or unit discrepancies.
- Simulate users with different permission levels. Test whether they can access and view corresponding citation sources normally, and confirm that unauthorized users cannot access restricted citations.
- Check system logs to confirm no
EmbeddingFailureorDocumentParseErrorrecords indicate file processing or vectorization failures during knowledge base retrieval and citation generation.
The values provided are common starting points and should be measured against the reader's 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.