What the data for this category looks like
Data sources for this category include public industry databases, public research report sites accessed via compliant crawlers, and local documents uploaded by users. Update frequency varies widely by source. Public research reports update according to their publication cycle. User-uploaded documents have no fixed update schedule. Document structures include titles, main body paragraphs, publishing organization identifiers, publication timestamps, classification tags, and embedded data table fields. No unified mandatory format exists for these fields. Some documents include attachment links. Data measurement units include ten thousand yuan, pages, and characters, with no unified standard.
What constraints these characteristics impose on deployment and upgrade
Permission verification requirements for multiple data sources change based on the source. Deployments must support configuring API keys, crawler request headers, and access whitelists for different data sources. Non-uniform document structures require pre-configuring custom parsing templates to adapt field extraction rules for different research report formats. Flexible update schedules require support for custom incremental synchronization scheduling cycles, to avoid fixed cycles that cannot accommodate scattered user-uploaded documents. The size and parsing time of long research reports require adjusting file parsing timeout and thread pool parameters to prevent parsing failures for large files. When upgrading versions, compatibility with old parsing rules is required to avoid damaging established vector indexes.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_DOC_MAX_SIZE | 2000 MB | Adapts to the size limit of long research report PDFs and Word documents with multiple tables, to avoid parsing failures for large files |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Long research reports take longer to parse; the default timeout is insufficient, extend to 15 minutes to ensure complete parsing |
RECALL_TOP_K | Top 10–15 entries | Research report content has large volume, so a sufficient number of context fragments must be recalled to cover core arguments |
SYNC_INCREMENTAL_INTERVAL | Every hour | Adapts to the real-time update rhythm of public research reports, balances index update overhead and data freshness |
UPLOAD_ALLOWED_EXTENSIONS | pdf, docx, xlsx, md | Covers common publication formats for research reports, excludes non-compliant format uploads |
UPLOAD_FILE_STORAGE_PATH | /data/fastgpt/uploads | Specifies the local storage directory for private deployments, clarifies the file storage location |
EMBEDDING_MODEL_BATCH_SIZE | 32 | Balances the speed and memory usage of research report paragraph embedding, avoids memory overflow during batch processing |
The parameter values provided on this page are all common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on independent samples before finalizing settings.
Three Common Mistakes
- Symptom: A
permission denied while trying to connect toerror appears after startup, and external model services cannot be accessed. Cause: The permissions of the local model directory mounted by the container were not configured during deployment, or firewall rules for the corresponding port were not opened, causing the service process to fail to access the model instance. - Symptom: The local storage path for uploaded research reports cannot be located, or files are mistakenly identified as having been uploaded to the public network. Cause: The
UPLOAD_FILE_STORAGE_PATHconfiguration was not set to specify the local storage directory, and the default path was not clearly marked, making direct file location impossible. - Symptom: Incremental synchronization tasks frequently time out and interrupt. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted to adapt to the parsing time of long research reports, and the default timeout duration is insufficient to complete full parsing.
How to Confirm Configuration is Complete
- Perform a local file upload test: upload a research report document in a compliant format, confirm that it displays normally in the document management interface with no parsing failure prompts.
- Configure a custom incremental synchronization task, set a short scheduling cycle, check synchronization logs to confirm that the task triggers normally and no permission errors occur.
- Initiate a retrieval test: enter core keywords from the research report, confirm that recall results include corresponding document fragments, and the quantity matches the configured
RECALL_TOP_Kvalue. - View the service monitoring panel, confirm that memory and CPU usage for model embedding and vector retrieval do not exceed preset thresholds, and no memory overflow errors appear.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.