HTTP Interface and External Systems for Psychiatric Quality

Data Characteristics for this Category

Psychiatric quality document data primarily originates from clinical trial reports, pharmacovigilance reports, medical guidelines, drug inserts, and internal pharmaceutical company SOP documents. Document update frequencies vary. Clinical trial reports are typically generated once after project completion, while pharmacovigilance reports may update continuously based on adverse event occurrences. Medical guidelines and drug inserts undergo periodic revisions. Document structures are complex, containing extensive unstructured text, tables, and charts. They cover disease diagnostic criteria, treatment plans, drug mechanisms of action, side effects, and contraindications. Fields and units are highly specific, such as dosage units mg/day and μg/kg, and diagnostic scale scores like PANSS and HAM-D. These field values are often embedded within paragraph descriptions.

Constraints Imposed by these Characteristics on HTTP Interfaces and External Systems

The data characteristics of psychiatric quality documents impose specific requirements on HTTP interfaces and external system integration. The complexity and diversity of document content mean traditional structured data interfaces are insufficient. Support for rich text, PDFs, and other unstructured data transfer is necessary. Unpredictable update frequencies demand flexible trigger mechanisms for interfaces, supporting both scheduled polling and event-driven pushes. Unique medical terminology and scale data within documents limit the effectiveness of simple text matching for retrieval. More advanced semantic understanding capabilities are required, potentially involving preprocessing steps to extract key entities. Accurate identification and parsing of PANSS and HAM-D scale values require interfaces to handle complex regular expressions or incorporate dedicated parsers. This ensures data integrity during transmission and proper indexing and retrieval by the subsequent knowledge base.

Configuration Guidelines

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`500 MB`	Clinical trial reports and medical guidelines for psychiatric conditions can be large, requiring full upload capability.
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Large PDF documents take longer to parse; sufficient time prevents parsing interruptions.
`chunkSize`	`800–1200 characters`	Balances semantic completeness and retrieval efficiency. Avoids over-segmentation that leads to context loss, while enabling effective chunking.
`maxContext`	`3000 Tokens`	Ensures the model can process queries with extensive medical background information and context, improving understanding accuracy.
`Similarity threshold` (Similarity Threshold)	`0.75`	For the rigor of medical texts, this increases the precision of retrieved content and reduces interference from irrelevant information.
`Rerank result count` (Reranked Top K)	`5`	Focuses on the most relevant, high-quality document segments, improving user efficiency in obtaining key information.

Common Pitfalls

HTTP status code 500 Internal Server Error, with logs showing Failed to download image from URL: Embedded image links in documents are inaccessible or cannot be downloaded, causing parsing to fail.
After uploading a large PDF document, a prolonged unresponsiveness or Request Entity Too Large error occurs: The server or gateway's client_max_body_size configuration is less than UPLOAD_FILE_MAX_SIZE.
Numerical fields for PANSS scores are empty in retrieval results: The document parser failed to correctly identify and extract scale values in non-standard formats or embedded in complex sentences.

How to Verify Configuration

Upload a psychiatric clinical trial report PDF containing complex tables and embedded images. Check if it parses and segments correctly.
Simulate an external system call via the HTTP interface, passing a query with specific psychiatric diagnostic criteria. Observe if the retrieval results include relevant medical guidelines or drug insert segments.
Perform a keyword search on a document describing HAM-D scores. Verify if the retrieval results correctly identify and display the score value.
Test uploads with documents of varying sizes (e.g., 5MB, 100MB, 400MB). Confirm that UPLOAD_FILE_MAX_SIZE and PARSE_FILE_TIMEOUT_SECONDS configurations meet actual requirements.

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.