What the Data for This Category Looks Like
Targeting solid waste treatment industry research reports for the financial sector. Sources include special reports released by environmental protection industry associations, public operation data from local solid waste disposal centers, environmental impact assessment approval public documents, and industry analysis documents from third-party consulting institutions. Update cadence: quarterly updates for segmented field reports, annual updates for industry panoramic reports, and real-time updates for newly built project implementation data as construction progresses. Document structure includes modules such as basic project information, treatment process details, pollutant emission indicators, operating cost accounting, and compliance status. Fields include treatment scale, pollutant concentration, investment amount, with corresponding units of tons/day, mg/Nm³, and ten thousand yuan respectively.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompting
Queries for solid waste treatment research reports in the financial sector are dense with technical terminology and have fixed field units. Multi-turn dialogue must retain key information from earlier queries such as project numbers and process types, to avoid requiring users to re-enter information. The long document structure requires that complete process logic is preserved during segmented retrieval, so the context window must accommodate the length of professional content. Fixed fields and units require prompts to clearly define the data source scope, prohibit the use of external irrelevant data, and require that original units are retained in outputs to avoid distortion of professional information. Real-time updated project data requires prompts to mark data timeliness, to avoid referencing outdated process parameters.
How to Set the Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxConversationRounds | 8–12 rounds | Solid waste treatment research reports contain multiple sets of professional parameters. 8–12 rounds of dialogue can cover complete project query logic and avoid context overflow |
similarityThreshold | 0.72–0.85 | Technical terminology in the solid waste treatment field has high similarity. This threshold range balances retrieval precision and coverage, avoiding missing accurately matched project reports |
rerankTopN | Top 6 entries | Individual solid waste treatment research reports have lengthy content. Retaining the top 6 entries after reranking balances retrieval precision and context length control |
promptTemplate | "Answer solely based on the provided solid waste treatment research report data, retain units such as tons/day, mg/Nm³ from the original text. If no relevant data matching the user's query is found, prompt that no relevant data was found" | Professional fields and units of solid waste treatment research reports have strict specifications. Prompts must clearly define the data source and output format |
apiVariableBindMode | Bind incoming parameters by parameter name | Query variables for solid waste treatment research reports, such as project ID and process type, must be accurately passed via API to avoid variable mapping errors |
parseChunkSize | 800–1200 characters | Single process descriptions in solid waste treatment research reports are lengthy. This chunk size preserves complete process logic and avoids semantic fragmentation |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to conduct tests on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Cannot find the modification entry for the default new conversation message, and the system uses a fixed initial prompt. Reason: No default message is set in the "Session Initialization" section of "Global Configuration", so the built-in system template is used by default.
- Phenomenon: The rerank model is configured but has no response, and the conversation details show that the rerank model was not called. Reason: The rerank model is not bound to the rerank node of the retrieval process, and the locally run model is not synchronized to the platform service.
- Phenomenon: Prompt variables passed via API do not take effect, and the returned content is unrelated to the preset variables. Reason: The variable placeholder is not correctly declared in the prompt template, and the passed parameter name does not match the template placeholder.
How to Confirm the Configuration Is Complete
- Initiate a test conversation containing keywords related to solid waste treatment projects, and check whether the returned content includes the professional fields and units of the corresponding research report.
- Call the API to pass preset query variables, and check whether the conversation result matches the retrieval conditions corresponding to the variables.
- Initiate more than 3 consecutive professional queries, and check whether the system retains context information and associates previous questions.
- View the platform retrieval logs to confirm that the rerank model is called normally and the number of retrieval results matches the configured parameters.
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.