What Data for This Use Case Looks Like
The involved parties include civil affairs bureau elderly care service departments, elderly care institutions, and collaborative supervision departments. Daily processed documents include filing materials, operation subsidy applications, service quality inspection reports, safety hazard rectification ledgers, elderly admission files, and similar items. Data mainly comes from elderly care service information platforms, civil affairs statistics systems, fire inspection records, and institution operation ledgers, with a monthly update frequency. Most documents have section titles and structured fields such as institution name, number of beds, inspection date, and similar details. Some documents include tables and attachment content.
What Constraints These Characteristics Impose on the Document Parsing and Chunking Link
Monthly batch-updated supervision data requires the parsing node to handle batch tasks for multiple documents. Reasonable timeout and capacity limits must be reserved. Supervision documents of different types have distinct structural differences: filing materials focus on basic institution information, while inspection reports focus on inspection items and results. The system must adapt to diverse document formats and logical structures. Structured fields and section titles are critical for verifying supervision business logic. When chunking, these contents must be retained to ensure business relevance during retrieval and prevent critical information from being lost due to incorrect splitting.
Reference only; verify against the target FastGPT release and deployment documentation.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Elderly care supervision documents include long paragraphs of inspection records and ledger content. This range retains the complete context of a single business record, and avoids splitting key fields such as number of beds and rectification requirements |
chunkSplitter | Split by title + paragraph | Most supervision documents have clear section titles. Splitting by title retains the complete logic of the same business module, facilitating associated matching during subsequent retrieval |
customPdfParse | Enabled | Filing materials and safety hazard rectification ledgers are mostly formatted PDF documents. Enabling custom parsing retains section titles and table structures, and prevents format confusion |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single elderly care institution filing material may include multiple pages of attachments and tables. The 600-second timeout setting covers the parsing time required for most long documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | When batch uploading institution operation ledgers, large-capacity file batch submissions must be supported to adapt to monthly batch data processing needs |
chunkSettingMode | Manual configuration | For different document types such as filing materials and subsidy applications, chunking parameters can be flexibly adjusted to adapt to retrieval requirements of various business scenarios |
Three Common Configuration Mistakes
- After uploading a file in a server environment, the document parsing node returns a 404 error and cannot read the file content. The cause is that the static file access path was not correctly configured during server deployment, causing the parsing node to fail to obtain the uploaded file address.
- The knowledge base retrieval results only return the main text content of the chunk, and do not include section titles and structured fields. The cause is that the chunking rule of splitting by title + paragraph was not configured, causing titles and key fields to be split into different chunks.
- When batch uploading monthly supervision ledgers, the parsing task times out and fails. The cause is that
PARSE_FILE_TIMEOUT_SECONDSwas not adjusted to a value matching the document length, making it impossible to complete full parsing of multi-page ledgers.
How to Verify the Configuration is Correct
- Upload a PDF document of an elderly care institution filing material, check the parsed chunk results, and confirm that section titles and main body content are in the same chunk.
- Upload an operation ledger file of approximately 800 MB, confirm that the parsing task does not trigger a timeout error and can complete parsing normally.
- Adjust
chunkSizeto the range of 600 characters to 1000 characters, compare the content integrity after chunking, and confirm that the setting adapts to the length characteristics of business documents. - Test the file upload process in the server environment, confirm that the parsing node can normally obtain the file address, and no 404-type errors are returned.
The values provided here 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 2026-09-28.