HTTP Interface and External Systems for siRNA Nucleic Acid

Data Characteristics

siRNA nucleic acid drug quality document data has a unique structure. Data sources primarily include laboratory analysis reports, production batch records, stability study reports, supplier qualification documents, and regulatory approvals. The update frequency of these documents correlates with drug development, production batches, and regulatory requirements. For example, production batch records are generated with each production batch, while stability data is continuously updated at predefined time points (e.g., 3 months, 6 months, 12 months). Document structures typically include structured experimental data (e.g., purity, concentration, sequence integrity, endotoxin levels) and unstructured text descriptions (e.g., process parameters, deviation handling, change records). Common fields include Batch_ID, Purity_HPLC (%), Concentration_UV (µM), Endotoxin (EU/mg), Sequence_Integrity (%). Units are precise, down to micromoles, percentages, EU/mg, and may involve specific measurement units for particular detection methods.

Constraints Imposed by These Characteristics on HTTP Interfaces and External Systems

The characteristics of siRNA nucleic acid drug quality documents impose specific requirements on HTTP interfaces and external system integration. Frequent batch production and stability study updates mean data integration interfaces must support high-concurrency data uploads and possess version management capabilities. Documents containing images (e.g., electrophoresis gels, chromatograms) and mixed structured data require interfaces to handle multimedia files and accurately extract and associate text and numerical information during data parsing. Precise measurement units and specialized terminology complicate the preprocessing and validation logic for uploaded content, necessitating strict data schema definitions. Due to the sensitive nature of drug quality data, interface security authentication and access control are core considerations, ensuring only authorized systems and users can interact with the data. When deploying internally, proxy server configuration also requires attention to ensure the stability of file uploads and knowledge base synchronization.

Configuration Guidelines

Configuration Item	Recommended Value	Rationale for Recommendation
`UPLOAD_FILE_MAX_SIZE`	`500 MB`	siRNA quality documents may contain high-resolution images and large batch record files, requiring a sufficiently large upload limit.
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Parsing large files, especially documents containing complex structures and multimedia content, requires extended processing time.
`Chunk size` (Segment Length)	`800–1200 characters`	Descriptive text paragraphs in siRNA quality documents are of moderate length; this range helps maintain semantic integrity.
`Recall count` (Recall Count)	`Top 5 entries` (Top 5)	In quality inspection scenarios, quickly locating a few highly relevant key document segments is typically necessary.
`Similarity threshold` (Similarity Threshold)	`0.75`	Ensures recalled document segments are highly relevant to the query content, reducing interference from irrelevant information.
`Rerank result count` (Rerank Return Count)	`3 entries` (3 items)	After reranking, the final output presented to the user should be the most concise and core pieces of information.

Common Pitfalls

Encountering a 413 Request Entity Too Large error during file uploads. This occurs because the Nginx or application server's client_max_body_size configuration is smaller than UPLOAD_FILE_MAX_SIZE.
Retrieval results not refreshing promptly or showing outdated data after knowledge base content updates. This happens if external systems do not correctly trigger the knowledge base's incremental update interface, or if PARSE_FILE_TIMEOUT_SECONDS is too short, leading to incomplete processing of some documents.
Receiving a 401 Unauthorized status code when adding content to the knowledge base via curl commands. This indicates the request header did not include a valid API key, or the key has expired.

Verification Steps

Upload a typical siRNA nucleic acid drug batch quality report (including text, images, tables). Observe if the file uploads and parses successfully without timeout errors.
Use a query containing specific fields like Batch_ID or Sequence_Integrity (%). Check if relevant document segments are accurately recalled and verify that the recall count and similarity threshold meet expectations.
Simulate a batch data update triggered by an external system via the HTTP interface. Confirm that the data in the knowledge base aligns with the source system and verify a 200 OK status for interface calls in the logs.

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.