What This Category of Data Looks Like
Wind power research report data mainly comes from domestic power equipment industry associations, securities firm research institutes, public reports from wind turbine manufacturers, and industry databases. Update cycles include fixed quarterly or annual industry reviews, plus ad-hoc reports released after sudden policy or installed capacity data updates. Document structures typically include abstracts, installed capacity statistics, core unit parameters (rated power, hub height, etc.), policy interpretations, and upstream and downstream industrial chain data. Common fields include project name, installed capacity (unit MW), grid connection time, blade length (unit meters), and more. Some documents include text-extracted content from structured tables and visualized data.
Constraints Imposed on Deployment and Upgrade
Wind power research reports have numerous structured fields with varying units. During deployment, configure multi-field vector extraction and index settings to avoid recall bias caused by unit confusion. Update cycles include fixed periodic bulk updates and ad-hoc emergency updates. During upgrade, support incremental synchronization instead of full index rebuilding to reduce resource usage. Some reports contain long-text industrial chain analysis sections. During deployment, set reasonable long-text segmentation thresholds to avoid semantic fragmentation. Some documents include chart content. Configure corresponding structured parsing parameters to ensure correct extraction of non-pure text content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Wind power research reports often contain long text and structured tables, with longer parsing times than general documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some complete industry research report packages have large file sizes, requiring support for large file uploads |
maxContext | 8000–12000 characters | Long industrial chain analysis paragraphs in wind power research reports require sufficient context to preserve semantic connections |
recall count | 8–12 entries | Segmented data in wind power research reports is widely distributed, requiring sufficient recalled fragments to cover core information |
similarity threshold | 0.75–0.85 | Wind power industry terminology is highly specialized, requiring a balance between recall precision and coverage |
rerank return count | top 5 entries | Core conclusions of wind power research reports are concentrated in early segments, prioritizing return of highly relevant content |
Three Common Mistakes
- Phenomenon: An incorrect port number is configured for
OPENAI_BASE_URL, but the model can still be called normally. Cause: Some proxy services ignore port validation, or the configured proxy rules do not strictly bind the port, resulting in incorrect forwarding of requests. - Phenomenon: After deploying FastGPT with Docker, MySQL database connection fails, and the interface displays a database connection failure prompt. Cause: The MySQL container port is not mapped to the host machine, or the database address configured in FastGPT does not point to the container internal or host mapped port.
- Phenomenon: Attempting to configure multiple vector groups corresponding to one data set in version v4.8.7 fails, as the corresponding setting cannot be found. Cause: The vector database configuration in this version only supports binding one data set vector per model. Multiple vector group configurations require upgrading to a later version or implementation via custom scripts.
How to Confirm the Configuration Is Correct
- Upload a wind power research report PDF, check if the parsed text content includes core fields such as unit parameters and installed capacity data, to confirm the parsing process is working normally.
- Initiate a research report-related retrieval request, verify that the number of returned recalled fragments matches the configured recall count.
- Test an ad-hoc update of a research report data set, check if the system only synchronizes the updated content without performing a full index rebuild, to confirm the incremental update configuration is active.
- Check the database connection logs, confirm there are no connection timeout or permission error messages, to verify the database configuration is correct.
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
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.