What this category’s data looks like
Commercial real estate investment research data comes from official housing and urban-rural development department announcements, internal operator operation ledgers, third-party industry research reports, and local business district monitoring data. Update frequencies vary: project operation data is updated monthly, industry research reports quarterly, and policy documents in real time as released.
Document structures cover single-page policy excerpts, dozens-page feasibility study reports, structured project ledger tables. These include structured fields with units such as building area, rental unit price, and project land area. They also contain a large number of professional terms and visual materials such as business district maps and project floor plans.
What constraints these characteristics impose on deployment and upgrade
Multi-source and heterogeneous document formats require deployment to support multiple parsing plugins for PDF, Excel, Word, web pages and other types. During upgrades, compatibility of old parsing templates with new formats must be verified.
The existence of large-volume long documents requires adjusting the upload file size limit and parsing timeout threshold to avoid interruptions during upload or parsing.
The large number of structured fields with units requires configuring mapping rules for field extraction to ensure accurate matching of professional terms during retrieval.
The difference in update frequencies across data sources requires supporting incremental update cycle configuration classified by data source, to avoid invalid updates or missed latest data.
The high proportion of documents with visual materials requires enabling image indexing to supplement retrieval dimensions.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Commercial real estate feasibility study reports are usually large in single-file size, to accommodate long document upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Parsing long-text feasibility study reports takes a long time, to avoid parsing failure due to mid-process timeout |
Segment Length | 800–1200 characters | Commercial real estate research reports contain a large number of professional terms and long sentences. Excessively long segments will affect retrieval accuracy, while excessively short segments will destroy semantic integrity |
Enable Image Indexing | Enabled | Commercial real estate reports include visual materials such as business district maps and project floor plans, requiring image indexing to supplement retrieval dimensions |
Retrieval Count | Adjust based on business scenario | Commercial real estate investment research needs to balance information breadth and relevance, requiring setting a reasonable retrieval quantity according to actual business needs |
Incremental Update Trigger Cycle | Configured by data source category | Update frequencies vary across data sources: operation data is updated monthly, industry research reports quarterly, requiring flexible setting of trigger timing |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: After local deployment and upgrade, after uploading a document, the model cannot generate answers based on the document, and the console returns a
413 Request Entity Too Largeerror. Cause: TheUPLOAD_FILE_MAX_SIZEenvironment variable was not reconfigured after the upgrade. The default value is too small to accommodate large commercial real estate documents. - Issue: In the local deployment knowledge base management interface of version 4.9.0, there is no image indexing configuration option. Cause: The local deployment did not mount the corresponding image parsing dependency plugin, or the image indexing function was not enabled in the environment variables.
- Issue: After Docker deployment is completed, accessing the domain name has no response, and the page returns a
502 Bad Gatewaystatus code. Cause: The container port and host port were not correctly mapped during deployment, or the FastGPT service did not complete initialization after the container started.
How to confirm the configuration is correct
- Upload a commercial real estate document that matches the maximum volume of the business scenario, confirm that the upload is successful and there are no timeout errors in the parsing task.
- Upload a commercial real estate report containing visual materials, confirm that the image parsing link is included in the index generation process.
- Manually trigger the incremental update task for the corresponding data source, confirm that the update log is generated according to the preset rules.
- Access the deployment address, confirm that the service responds normally and there are no connection-related error prompts.
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.