HTTP API and External Systems for Academic Promotion

Data Characteristics

Academic promotion activities in the biomedical field involve regulations and Standard Operating Procedure (SOP) documents with unique structures. Data sources primarily include internal corporate regulation libraries, guidelines from compliance departments, and policy documents from national or regional drug regulatory agencies. These documents are typically stored in PDF and DOCX formats. They are frequently updated, especially with policy adjustments or new product launches. Document content includes extensive specialized terminology, regulatory clauses, flowcharts, approval nodes, responsible party definitions, and specific behavioral norms. Fields often include policy_id, version_number, effective_date, approver_department, and related_product_lines. Dates and version numbers are critical for compliance review. Documents range from a few pages to hundreds of pages and often contain embedded tables and figures.

Constraints Imposed by "HTTP API and External Systems"

The update frequency and compliance requirements of academic promotion regulation documents necessitate that the HTTP API supports efficient document version management and incremental synchronization. Large amounts of unstructured text, complex charts, and tables demand high-precision file parsing and content extraction, directly influencing chunk_size and overlap_size settings. Accurate comprehension of specialized terminology and regulatory provisions requires the RAG model to effectively handle long-tail entities and multi-word phrases during the retrieval phase. Due to the strictness of compliance queries, API responses must trace back to original document segments and provide metadata such as document_id and page_number. For external systems, such as compliance approval workflows or training platforms, the HTTP API must provide stable query services with authorization mechanisms to ensure secure access to sensitive information.

Configuration Settings

Configuration Item	Suggested Value	Rationale for this Value
`UPLOAD_FILE_MAX_SIZE`	`100 MB`	Academic promotion regulation documents can include many charts and attachments, leading to large file sizes.
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Parsing large PDF/DOCX files is complex and requires extended processing time.
`Chunk size`	`800 characters`	Ensures semantic completeness of regulatory clauses and detailed regulations, preventing truncation of critical information.
`Recall count`	`Top 10 entries`	Increases coverage for compliance queries, raising the probability of recalling relevant regulations.
`Similarity threshold`	`0.75`	Guarantees high relevance between retrieval results and query content, reducing inaccurate regulation citations.
`HTTP_CALL_TIMEOUT`	`30 seconds`	External system calls typically require fast responses, avoiding long waits.

Three Common Mistakes

HTTP API call returns Invalid URL, code: 500: This typically indicates an incorrect URL format in the apiCollection external service configuration, such as missing the http:// or https:// protocol prefix.
Uploading large regulation files results in 400 <400> InternalError.Algo.InvalidParameter: Multimodal file size is too large: This indicates the file size exceeds the system's UPLOAD_FILE_MAX_SIZE limit. Adjust the configuration or preprocess the file.
External systems fail to reconnect after a MongoDB primary node switch, leading to data synchronization interruption: This occurs when the connection string does not correctly configure replica set information or enable the replicaSet option, preventing the driver from detecting primary node failover.

How to Confirm Correct Configuration

Upload a typical academic promotion regulation PDF document. Check if multiple segments are successfully created in the knowledge base and verify the document_id and page_number metadata for each segment.
Query the knowledge base via the HTTP API for regulations related to a specific legal provision. Verify that the results include at least 5 highly relevant regulation clauses and confirm that the original source links for each clause are accessible.
Simulate an external system querying via the HTTP API. Monitor the log system to ensure that the external system automatically reconnects and continues to retrieve data during a MongoDB primary node switch, without significant service interruption.

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.