What this category’s data looks like
Marketing content data for industrial parks primarily comes from park operator investment prospectuses, financial support policy documents, industry update briefings, supporting facility descriptions, and collections of settled enterprise cases. Updates occur irregularly, triggered by major policy changes, new enterprise settlements, or announcements of park financial events. Document structures include full-length detailed investment prospectuses, short one-page notices, and structured fields such as park land area, number of settled enterprises, and financial subsidy amounts, with corresponding units attached.
Constraints on knowledge base retrieval and recall
The multi-source, mixed-length document, and structured field characteristics of industrial park marketing content combined with financial support policies create multiple constraints for knowledge base retrieval and recall. Long-form investment prospectuses must be split while preserving the logical flow of financial policy clauses, to avoid breaking contextual associations during segmentation. Structured fields such as financial subsidy amounts and settled enterprise counts require precise field matching, rather than relying solely on full-text search. Irregularly updated data requires incremental synchronization mechanisms, to prevent recall of expired financial support policies. Multiple document types including PDF, PPT, and illustrated descriptions require support for complex format parsing and text extraction from images, to ensure complete recall of financial policy information.
Configuration recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Industrial park investment prospectuses containing financial policies are often multi-page PDFs or PPTs, with long single-document parsing times. 900 seconds covers the full parsing process |
maxChunkSize | 800–1200 characters | Industrial park financial policy documents contain continuous clauses. This range preserves the logical integrity of policies, avoiding split operations that break context |
RECALL_TOP_N | Top 6–8 results | Park marketing content covers multiple types of information including financial policies, cases, and supporting facilities. 6-8 results cover core user query needs without causing information overload |
ENABLE_IMAGE_PARSER | Enabled | Industrial park investment documents often include park floor plans, financial event site photos, and similar materials. Text extraction from images is required |
UPLOAD_FILE_MAX_SIZE | 500 MB | Large investment prospectus PDFs and PPT files have significant file sizes. 500 MB covers the needs of most park documents |
SYNC_INCREMENTAL | Enabled | Park financial policy data is updated irregularly. Incremental sync reduces redundant parsing overhead and ensures data timeliness |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test against appropriate samples before finalizing settings.
Three common misconfigurations
- Phenomenon: In a Feishu-connected knowledge base, financial policy documents in PPT or PDF format fail to complete synchronization, or cannot be retrieved after synchronization. Cause: The synchronization configuration did not enable permissions for non-text format files, or the parsing plugin has no configured parsing rules for the corresponding formats.
- Phenomenon: After uploading a single large industrial park financial policy document, a network failure prompt is returned after transcoding time exceeds the threshold, accompanied by status code 504. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted to a duration suitable for document parsing, or server resources are insufficient to support long-time parsing. - Phenomenon: For a locally deployed FastGPT 4.9.0 instance, no image understanding model configuration option appears when creating a new knowledge base. Cause: The official image understanding model plugin is not pre-installed for this version, or the plugin was not enabled in the system backend.
How to confirm configuration is correct
- Upload a PDF document related to park financial policies, check if the parsed segmented content retains the contextual logic of policy clauses, and confirm that the segmentation configuration matches document length requirements.
- Initiate a query that includes structured fields, such as "park financial subsidy amount", verify that retrieval results match the content of the corresponding fields, and confirm that structured retrieval configuration is active.
- Trigger a knowledge base incremental sync, check if newly added park financial event documents are automatically synchronized to the knowledge base, and confirm that the incremental sync switch is configured correctly.
- View the knowledge base settings page, confirm that the
ENABLE_IMAGE_PARSERswitch is enabled, and that related plugins have finished loading.
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.