What the data for this category looks like
Chemical fiber industry investment research data primarily comes from public standard documents of the upstream petrochemical industry chain, monthly research reports from industry associations, daily spot trading platform price data, and production ledgers of downstream weaving enterprises. Update rhythms vary significantly: spot price data is updated daily, industry statistical data such as industry chain capacity and operating rate is updated weekly or monthly, and internal enterprise production scheduling data is synchronized daily. Document formats include structured tables (such as PTA spot price sheets), long-text industry analysis reports, and standardized parameter documents. Core fields include product unit price (unit: yuan/ton), capacity scale (unit: 10,000 tons/year), operating load (unit: percentage), industry chain price difference (unit: yuan/ton), and others. Some documents include attachments such as process flow charts and supply and demand balance sheets.
What constraints these characteristics impose on deployment and upgrade
The multiple update rhythms, diverse document formats, and specialized unit characteristics of chemical fiber investment research data impose multiple constraints on the deployment and upgrade process. First, high-frequency updated spot data requires the knowledge base to support incremental synchronization; full reconstruction will consume excessive computing resources. Second, composite documents containing structured tables and process flow charts require deploying plugins adapted to multi-format parsing. Upgrades must ensure that plugin versions are compatible with the FastGPT core version. Third, accurate recognition of specialized units requires the parsing process to preserve original field formats. After an upgrade, verify that the field extraction logic of parsing plugins has not been modified. Fourth, some internal enterprise data sources require intranet access. Deployments must configure intranet access permissions. Changes to network proxy settings during upgrades may cause failures when crawling internal URLs.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Chemical fiber industry documents often contain long-text analysis and multi-format attachments, requiring sufficient parsing time |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some industry research reports and process flow chart files have large sizes, requiring support for large file uploads |
INCREMENTAL_SYNC_INTERVAL | 30–60 minutes | Spot price data is updated daily, so the incremental sync interval matches the high-frequency update rhythm |
maxContext | 8000–12000 characters | Chemical fiber investment research documents contain industry chain association information, requiring sufficient context for correlation analysis |
number of retrieved documents | Top 10–15 entries | Investment research scenarios need to cover multi-dimensional industry chain data, requiring a sufficient number of associated documents to be retrieved |
similarity threshold | 0.75–0.85 | Balances precision and recall coverage, avoiding missed associated data from segmented industry chains |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by document 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 Mistakes
- After upgrading to version 4.9.0, creating a knowledge base with an intranet URL results in an error, and the backend log prompts
cannot fetch internal url. The cause is that intranet access restrictions are enabled by default after the upgrade, and no intranet whitelist is configured or network proxy rules have been adjusted. - The file processing plugin cannot be found. The cause is that official parsing plugins were not updated during the upgrade, or plugin installation directory permissions changed, causing the plugin to fail to load.
- Errors occur when using a third-party model API key or a locally deployed Ollama model, with the image pulled on the same day. The cause is that the model's interface timeout period was not configured correctly, or the image does not include the parsing plugin packages required by the model.
How to confirm the configuration is correct
- Upload a chemical fiber industry research report containing structured tables and long text. Verify that extracted fields are complete and units are not lost after parsing.
- Configure an incremental sync task. Wait for the sync cycle to end, check whether newly added spot price data in the knowledge base matches the data source.
- Submit an investment research-related query. Verify that the number of retrieved documents and similarity meet the preset configuration.
- Test the intranet data source URL crawl. Confirm that no
cannot fetch internal urlerror logs appear in the backend.
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.