Multi-turn Dialogue and Prompt Engineering for Wind Power Marketing Content

Data for wind power marketing content comes primarily from wind turbine manufacturer public technical parameter documents, wind farm operation and

What the data for this category looks like

Data for wind power marketing content comes primarily from wind turbine manufacturer public technical parameter documents, wind farm operation and maintenance logs, regional wind power resource assessment reports, customized marketing plan documents, and customer inquiry history records. Technical parameter documents are updated quarterly to annually. Operation and maintenance logs and real-time marketing campaign data are updated daily. Document structures include fields such as turbine rated power, hub height, and impeller diameter, with units of kilowatts and meters. Wind resource data includes average wind speed and annual utilization hours, with units of meters per second and hours. Marketing plan documents include fields such as deployment region, target customer type, and other relevant details.

Constraints Imposed on Multi-turn Dialogue and Prompt Engineering

Wind power marketing content has a high share of long documents. A single turbine parameter document or wind resource report often exceeds the default context window of general-purpose models. This causes context overflow during multi-turn dialogue, making it impossible to associate with historical questions. Data fields carry a risk of mixed unit usage. For example, power may be labeled in both kilowatts and megawatts. Prompt engineering must clarify unit rules to avoid response inaccuracies. Real-time operation and maintenance and campaign data are updated frequently. Multi-turn dialogue must be able to associate with the latest knowledge base content to prevent outdated information from being used. In multi-document scenarios, marketing plan documents from different regions and turbine models have distinct structural differences. Precise specification of target retrieval documents is required. Otherwise, off-topic responses may occur.

How to Set Configurations

Configuration ItemRecommended ValueRationale
maxContext8000–16000 charactersSingle wind power marketing documents often exceed 5000 characters, so the setting must cover multi-turn dialogue history and retrieved professional content
CHUNK_SIZE1000–1200 charactersWind power parameter documents have dense fields. Segment length is set to maintain completeness of technical terms and context association
RECALL_TOP_NTop 6–8 resultsWind power marketing data includes multi-dimensional parameters such as power, wind speed, and region. Sufficient retrieved content is needed to cover user questions
CLEANUP_CONTEXT_AFTER30 daysWind power marketing project cycles usually span quarters to years. Short-term retention balances storage costs and historical dialogue requirements
SPECIFY_DOCUMENT_PROMPTPrioritize retrieving content where document titles contain {target_keyword}Wind power marketing has independent documents for different regions and models. Precise targeting of retrieval scope is required
UPLOAD_FILE_MAX_SIZE200 MBSingle wind power operation and maintenance logs or large regional assessment reports often reach 100–150 MB, so sufficient upload space is reserved

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 individual analysis, and it is recommended to test against your own samples before finalizing.

Three Common Mistakes

  • Off-topic responses starting from the second question in multi-turn dialogue, or the model failing to associate with previous wind power parameter query results. Cause: maxContext is not configured to adapt to long dialogue history, or the context association switch is not enabled, causing the model to lose professional parameter information from previous questions.
  • After uploading a large wind power regional assessment report, the system returns a "context overflow" error, or retrieved content only includes the first half of the document. Cause: CHUNK_SIZE is not set to adapt to long documents, or the automatic chunking function is not enabled, preventing long documents from being fully split and retrieved.
  • When retrieving multiple wind power marketing documents, the model randomly retrieves irrelevant documents, or fails to specify retrieval targets by turbine model or region. Cause: The SPECIFY_DOCUMENT_PROMPT template is not configured, or target document keywords are not clearly specified in the question, leading to an overly broad retrieval scope.

How to Verify Correct Configuration

  • Upload the longest single wind power marketing document, test whether the automatic chunking function operates correctly, and check that segmented content retains complete technical terms and field information.
  • Initiate two or more related questions about wind power parameters. Verify that the model can associate content from previous questions. For example, first query the rated power of a specific turbine model, then query the hub height of that same model. Confirm that the response includes associated information from the earlier parameter query.
  • After configuring the document-specific retrieval prompt, enter a question containing the target keyword. Verify that the model only retrieves content from the corresponding document, and does not include information from other irrelevant documents.
  • Access the conversation log management interface. Confirm that the log cleanup cycle setting matches expectations, and check that storage usage aligns with configuration requirements.

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.