Technical Documentation and API Q&A for Computer Room Inspection and Environmental Monitoring: Document Parsing and Chunking

What the Data for This Category Looks Like

This category of data mainly comes from motion environment monitoring systems, access control systems, UPS monitoring systems, and video inspection equipment. Daily processed documents include inspection forms, temperature and humidity records, alarm records, and duty logs. Some documents include device status screenshots or structured tables. Data update frequency is daily or real-time. Most fields include device ID, temperature and humidity values, alarm level, and timestamp. Units involve degrees Celsius, percentage, alarm level identifiers, and similar items.

Constraints Imposed by These Characteristics on Document Parsing and Chunking

The data characteristics of this category impose multiple constraints on document parsing and chunking. Structured inspection forms and alarm records must retain field association relationships, and avoid splitting key information such as device IDs and alarm levels across tables. Real-time updated temperature and humidity and alarm data require shorter chunk lengths to ensure retrieval timeliness. Documents with video inspection screenshots must maintain the binding relationship between images and corresponding explanatory text, preventing disconnection between recognized text and visual information. Short duty log fragments must avoid excessive splitting, ensuring each chunk contains complete event context.

How to Configure Settings

For FastGPT v4.17.0, the following configuration items can be adjusted directly in the platform interface or source code configuration files:

Three Common Misconfigurations

• Phenomenon: Uploaded inspection reports show parsing success, but no corresponding retrieval results appear in the knowledge base, or the model cannot read the uploaded file. Cause: Structured parsing mode for customPdfParse is not enabled, or UPLOAD_FILE_MAX_SIZE is set smaller than the uploaded file volume, resulting in incomplete file loading.
• Phenomenon: Table content in imported Word inspection documents is recognized chaotically, and images are separated from corresponding explanatory text. Cause: chunkSplitter is not configured to split by table or title, and structured parsing is not enabled, resulting in damaged binding between tables and images during chunking.
• Phenomenon: Extended field content of alarm records is missing in the parsed knowledge base. Cause: Custom field extraction rules are not configured, and non-standard fields that need to be included in parsing are not specified, resulting in failure to recognize some business-related fields.

How to Verify Configurations Are Correct

• Upload a single inspection report that meets the UPLOAD_FILE_MAX_SIZE setting, check if the platform's parsing status shows completion, and confirm that the parsing log has no timeout or format error prompts.
• Import a Word inspection document containing tables and images, retrieve and view the chunk preview results, confirm that each chunk retains complete table rows and bound text for corresponding images.
• Adjust the chunkSize parameter, view the chunk preview interface, confirm that the single chunk length adapts to the average length requirements of business documents.
• Upload a large-volume video inspection summary document, verify that the parsing process has no interruption prompts, and confirm that the PARSE_FILE_TIMEOUT_SECONDS setting meets the file parsing duration 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 2026-10-19.