Data Characteristics of This Category
Data sources primarily include publicly available monitoring reports from food industry associations, aggregated sales data from retail terminals, and publicly released product R&D and supply chain documents from brand owners. Update cadence follows a fixed quarterly cycle, with temporary documents added to align with new product launches and industry trade show events. Document structure includes product classification tags, raw material cost breakdowns, terminal sales data, and competitor landscape fields. Units include physical and revenue measurement units such as tons, ten thousand yuan, and ten thousand units.
Constraints on Deployment and Upgrade
Multi-source, heterogeneous data in this category requires the deployment phase to adapt to industry reports, sales ledgers, and brand documents in varying formats. Pre-configure multiple parsing templates to accommodate layout differences across sources. The fixed quarterly update cycle paired with temporary node updates requires the upgrade phase to support scheduled incremental sync task configuration. Reserve interfaces for quick access to temporary documents. The presence of segmented fields such as raw material costs and sales scale requires precise field extraction rules during deployment. Prevent non-target information from entering the retrieval database. The use of multiple measurement units requires pre-configured unified unit conversion logic. Avoid unit confusion in search results.
Configuration Parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single reports in this category can be up to dozens of pages long; the timeout window must cover the full parsing process |
UPLOAD_FILE_MAX_SIZE | 400 MB | Reports in this category often include high-resolution sales charts; single file size typically does not exceed 400 MB |
maxContext | 8000 characters | Core information segments of reports in this category typically range from 1000 to 2000 characters; combined with retrieval results, this covers complete relevant information |
Recall count | Top 8 results | This category has many segmented market tracks; 8 retrieved results can cover relevant data across different product segments while avoiding information overload |
Similarity threshold | 0.72–0.78 | Reports in this category have high keyword overlap; a threshold that is too low will introduce irrelevant results, while a threshold that is too high will miss valid relevant documents |
AIPROXY_REQUEST_TIMEOUT | 120 seconds | Network latency exists in cross-service deployment scenarios; sufficient time must be reserved for AI proxy response |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Symptom: Service is inaccessible via HTTPS after startup, with browser showing certificate invalid or unable to establish a secure connection. Cause: Correct paths for
HTTPS_CERT_FILEandHTTPS_KEY_FILEwere not specified in the FastGPT environment configuration file, causing the service to fail to load certificate files generated by mkcert. - Symptom: When deploying on an offline server, AI proxy logs return a
get tiktoken dial tcp lookuperror, and token counting cannot be completed. Cause: The offline environment does not have local token counting dependencies configured, or tiktoken model cache files were not pulled in advance, preventing the proxy from accessing external resources to obtain model data. - Symptom: After deploying on Sealos, knowledge base sync tasks fail frequently, with inter-container network errors returning
502 Bad Gateway. Cause: Container network interconnection parameters were not configured correctly, preventing FastGPT services from communicating normally with the AI proxy and database services.
How to Verify Proper Configuration
- Upload a locally saved snack food industry research report PDF, check that parsed data fields include preset content such as product classifications and raw material costs to confirm parsing configuration is active.
- Submit a research report retrieval request, verify that the number of returned results matches the set retrieval parameter to confirm retrieval configuration loaded correctly.
- Review service runtime logs, confirm there are no timeout errors related to
PARSE_FILE_TIMEOUTorAIPROXY_REQUEST_TIMEOUTto confirm timeout configuration is reasonable. - Manually trigger an incremental sync task, check if newly added temporary node reports are successfully included in the retrieval database to confirm update configuration is active.
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.