What the data for this category looks like
Wind power investment research data mainly comes from public technical manuals of wind turbine manufacturers, public operation data of power grid dispatching, third-party industry research reports, and public datasets from meteorological observation stations. Update cycles vary widely. Manufacturer technical documents are updated with new product iterations. Industry reports are released quarterly or annually. Grid operation data is updated hourly. Most documents include wind turbine rated parameters, project operation and maintenance logs, electricity price calculation tables, and policy clause snippets. Fields include active power, wind speed, hub height, with corresponding units of MW, m/s, and meters respectively.
What constraints do these characteristics impose on the citation and traceability link?
The multi-source update cycle differences of wind power investment research data require distinguishing traceability logic between static documents and dynamic data in the citation traceability chain, to avoid mixing traceability rules for real-time grid data and annual industry reports. Documents contain structured tables and unstructured text, so traceability needs to accurately locate table rows and parameter entries. Only matching document fragments cannot meet traceability requirements, which increases the complexity of metadata extraction. Wind power investment research often involves cross-document parameter comparisons, so traceability needs to associate multiple document entries for the same project, further increasing the difficulty of traceability association. At the same time, there are high requirements for unified field units. Traceability information without marked units may lead to value confusion in investment research conclusions.
How to configure the settings
| Configuration Item | Recommended Value | Rationale | ||
|---|---|---|---|---|
Citation Content Template | `{doc.content}\nSource: {doc.source} | Paragraph Location: {doc.paragraph_num} | Update Time: {doc.update_time}` | Wind power investment research parameters are prone to change with product model iterations. Clearly marking sources and update times helps avoid confusion across data from different sources |
Number of Retrieved Results | Top 8-12 | Wind power investment research requires comparing parameters of multiple wind turbines and data from multiple projects. Sufficient retrieved volume covers comparison needs while avoiding redundancy | ||
Similarity Threshold | 0.75-0.85 | Wind power parameters are mostly standardized values. A threshold that is too low may introduce irrelevant operation logs or policy texts, while a threshold that is too high may miss parameters of different batches of the same wind turbine model | ||
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Wind turbine manufacturer manuals often contain multi-page structured tables, which take longer to parse. This setting prevents document content from being truncated due to timeout, leading to missing traceability information | ||
Number of Reranked Results | Top 5 | Core parameters for wind power investment research are concentrated. Reranking prioritizes returning the most relevant authoritative sources, simplifying the traceability chain |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and testing on local samples is advised before finalizing settings.
Three common mistakes
- Phenomenon: AI responses mix knowledge base citation content with generated content from custom prompts. Cause: The configuration boundary between the citation content template and conversation prompts is not distinguished, leading to traceability information being overwritten by custom content.
- Phenomenon: No optional values are available when configuring variable references. Cause: Corresponding parameters are not configured in the context variable node bound to the knowledge base, or variables are not passed to the retrieval chain via upstream node outputs.
- Phenomenon: The
Cannot redefine property: toStringerror is triggered in the production environment. Cause: ThetoStringmethod is repeatedly defined in a custom script, conflicting with FastGPT's built-in prototype chain methods.
How to confirm the configuration is correct
- Submit a retrieval request containing core wind power parameters, check if the reference column of the returned results includes document source, paragraph location, and update time information.
- Adjust the similarity threshold and submit multiple retrieval requests, verify that the relevance of the retrieved results matches the expected threshold range.
- Upload a wind turbine manufacturer's technical manual, check if the parsed document fragments retain parameter fields and their corresponding units.
- View retrieval logs, confirm that each retrieved result is associated with correct document metadata.
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.