Multi-turn Dialogue and Prompt Engineering for Power Grid

What this category of data looks like

Data for power grid equipment research reports mainly comes from public reports released by the China Electricity Council, research outputs from securities firms' power grid equipment industry teams, annual financial reports of domestic grid operation enterprises, and industry technical journals. Update frequency fluctuates with industry policies and equipment bidding events, with a standard update cycle of monthly or quarterly. Document structure includes three core modules: core technical parameters, market size statistics, and policy interpretations. Fields include rated voltage (unit: kV), rated capacity (unit: MVA), revenue (unit: 100 million yuan), loss rate (unit: %), and others. Single in-depth research reports have relatively long length.

Constraints imposed by these characteristics on multi-turn dialogue and prompt engineering

Professional fields and specific unit requirements for power grid equipment research reports require multi-turn dialogue to gradually guide users to clarify the parameter dimensions of concern, avoiding outputting content that confuses different equipment types. The long document structure requires that context recall in multi-turn dialogue must limit the length of valid fragments, reducing interference from redundant information. The fluctuating update cycle requires prompts to include instructions to prioritize the latest knowledge base content, avoiding the return of outdated data. Differences across multiple sources require prompts to clearly define unified field interpretation rules, aligning parameter definitions across different sources.

Configuration Settings

Configuration Item	Recommended Value Range	Rationale
`maxContext`	`8000–12000 characters`	Adapts to the long content characteristics of power grid equipment research reports, retains sufficient multi-turn dialogue context for parameter comparison
`similarityThreshold`	`0.75–0.85`	Filters irrelevant documents outside the power grid equipment domain, improving the accuracy of professional content recall
`rerankTopN`	`Top 3–5 entries`	Limits the number of research reports returned by reranking, reduces redundant context in multi-turn dialogue, and improves response speed
`PROMPT_TEMPLATE`	`"Please base your answer on the provided power grid equipment research report content, combine the multi-turn dialogue history, use the same language as the query to respond, and prioritize citing the units and parameters clearly marked in the research report"`	Clarifies the citation rules for professional units, aligns with the context logic of multi-turn dialogue
`PARSE_FILE_MAX_LENGTH`	`50000 characters`	Adapts to the long text content of single in-depth research reports, avoiding truncation of key parameters during parsing
`REPLY_WHEN_NO_CONTENT`	`"No matching power grid equipment research report content was found in the knowledge base. Please adjust your keywords or supplement specific parameters and try again"`	Unifies the response format when no matching content is found, reducing user confusion

The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on independent samples before finalizing settings.

Three Common Misconfigurations

The symptom is empty fields returned by the text extraction node, and the specified prompt for REPLY_WHEN_NO_CONTENT is not triggered. The cause is that the output of the text extraction node is not bound to the input filter condition of the retrieval node, resulting in empty content not being passed to the response judgment link.
The symptom is that the model's output language does not match the preset prompt requirements, and only returns Chinese even if the knowledge base content is in English. The cause is that the language priority is not clearly specified in PROMPT_TEMPLATE, and the model's default language output settings are not aligned.
The symptom is that a PARSE_FAILED error code is returned after uploading a power grid equipment research report, and the parsing task fails. The cause is that the PARSE_FILE_MAX_LENGTH parameter is not adjusted to adapt to long documents, or the OCR parsing switch for scanned research reports is not enabled.

How to Verify Proper Configuration

Upload a test power grid equipment research report, initiate a multi-turn dialogue, input the query "Please specify the rated capacity of the transformer mentioned in this research report", and confirm whether the returned content includes clearly marked units.
Adjust similarityThreshold to 0.6, retrieve non-power grid equipment documents in the same domain, and confirm that irrelevant content is not recalled.
Construct a query with no matching content, and confirm that the preset REPLY_WHEN_NO_CONTENT prompt content is returned.
Upload a test research report exceeding 30000 characters, and confirm that the parsing task is completed within the time period specified by PARSE_FILE_TIMEOUT_SECONDS.

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.