What the data for this category looks like
Condiment industry research report data mainly comes from securities firm research institutes, food and beverage industry associations, third-party industrial data institutions, and public annual reports of leading enterprises. Update frequency varies by report type. Regular in-depth industry reports are released quarterly and semi-annually. Ad-hoc tracking reports are updated as needed based on raw material price fluctuations and channel policy adjustments. Document structures typically include core summary, overall industry production and sales data, category-by-category revenue breakdown, cost structure analysis, channel share, and operating dynamics of leading enterprises. Common data fields include single-category revenue, year-over-year growth rate, raw material purchase price, channel penetration rate, and more. Units include 100 million yuan, percentage, yuan/ton, and others.
What constraints these characteristics impose on deployment and upgrade
The multi-frequency updates, multi-dimensional fields, and structured data characteristics of condiment industry research reports impose three constraints on deployment and upgrade. First, alternating updates between regular quarterly reports and ad-hoc tracking reports require incremental synchronization configuration to avoid resource consumption from full re-imports. Second, documents contain structured fields with multiple units. During deployment, preset metadata extraction rules to ensure precise filtering by revenue, cost, and other dimensions during retrieval. Third, in-depth industry reports are lengthy. During upgrades, adjust text segmentation and recall thresholds to prevent key information from being truncated. Additionally, the on-demand release of ad-hoc reports requires reserving a flexible document upload entry during deployment to adapt to non-periodic data source access.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Condiment industry research reports are mostly long-text in-depth reports, with longer parsing time than general documents, to avoid timeout interrupting the parsing process |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single in-depth industry research report may contain multiple pages of charts and complete operating data, allowing large file uploads |
maxContext | 8000–12000 characters | Long-text research reports need to retain complete core analysis logic to adapt to multi-paragraph context recall |
Recall count | Top 8–10 results | There are many condiment sub-categories, needing to cover relevant research reports across multiple dimensions such as soy sauce, vinegar, and seasoning sauces |
Similarity threshold | 0.75–0.85 | For retrieval scenarios mixing structured fields and unstructured text, balance accurate recall and result relevance |
INCREMENTAL_SYNC_ENABLE | Enabled | Ad-hoc tracking reports are released on demand, incremental synchronization reduces resource consumption from full re-imports |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, 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 errors
- Phenomenon: After multi-node deployment, some research report metadata is empty, and filtering by category fails during retrieval. Cause: Shared storage mount path is not configured, so each node cannot synchronize and read uploaded research report metadata files.
- Phenomenon: Deployed using version v4.9.11, cannot enable MCP functionality. Cause: Versions v4.9.11 and earlier do not have built-in MCP support. Upgrade to v4.9.12 or a later long-term support version.
- Phenomenon: The markdown format of research report summaries returned by the public network version differs from the local deployment version, with first and second-level headings missing. Cause: The
MARKDOWN_PARSE_MODEparameter is not configured uniformly, and the local and public network versions use different parsing rules.
How to confirm the configuration is complete
- Upload a test condiment industry research report, check that the parsed text segmentation is complete, with no timeout or parsing failure errors.
- Initiate a retrieval using sub-category as the keyword, verify that the number of recalled results matches the value set for the
Recall countparameter. - Upload an ad-hoc tracking research report, verify that the knowledge base completes incremental update automatically without requiring full re-import.
- Log in to the team management interface, confirm that sub-accounts can be created and knowledge base access permissions can be assigned, verify that the team management function loads normally.
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.