Multi-turn Dialogue and Prompt Engineering for Decoration Industry Research Report Retrieval

Decoration industry research report data primarily comes from financial institutions’ special analysis reports on decoration loans, industry

What This Category of Data Looks Like

Decoration industry research report data primarily comes from financial institutions’ special analysis reports on decoration loans, industry monitoring documents published by the China Building Decoration Association, supply chain price data from building material manufacturers, and home improvement guidance prices released by local housing and urban-rural development departments. Update cycles include monthly building material price updates, quarterly industry prosperity analysis updates, and annual full special research report updates. Document structures cover regional market size, single-project cost breakdown, compliance policy key points, and material parameter details. Fields include material unit price (yuan/square meter), construction period (days), total project budget (ten thousand yuan), and regional market coverage scale (square meters).

Constraints Imposed on Multi-turn Dialogue and Prompt Engineering

Decoration industry research reports have numerous segmented fields and significant regional differences. They adapt to risk control and pricing needs in financial scenarios. This requires multi-turn dialogue to gradually clarify the user’s project type, location, and budget range, to avoid matching errors caused by parameter mismatches. Monthly updated building material prices require prompts to prioritize calling the latest data. Otherwise, the accuracy of cost calculation will be affected, and it will not support risk control and pricing decisions in financial scenarios. Project breakdown data in documents must match the user’s specific needs. Multi-turn dialogue must gradually filter irrelevant industry data. Unified unit requirements for different fields require prompts to include built-in conversion logic. This ensures consistency of returned results and adapts to standardized requirements in financial scenarios.

Configuration Setup

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersIndividual decoration industry research reports have relatively long content. Multi-turn dialogue needs to retain multi-round project parameters and regional information
Recall countTop 8–12 resultsCovers matching needs for multiple types of fields including segmented building materials, construction cycles, and regional policies
Similarity threshold0.75–0.85Improves matching accuracy for segmented parameters, and avoids introducing irrelevant industry data
PARSE_FILE_TIMEOUT_SECONDS120 secondsAdapts to the parsing content volume of single decoration research reports, and avoids parsing timeout failures
Rerank result countTop 4–6 resultsPrioritizes sorted core matching results, and simplifies information filtering steps for multi-turn dialogue
maxToolCall3 timesLimits the number of multi-round parameter confirmation rounds, and avoids dialogue redundancy

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material types, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing.

Three Common Mistakes

  • Phenomenon: Calling the chart tool to generate a decoration material cost comparison chart returns an empty result. Cause: The prompt does not explicitly specify the segmented parameters required for the chart, such as region, material category, and project type. This causes the tool to fail to match data from the corresponding research reports.
  • Phenomenon: The AI dialogue node returns empty or an error message, and the front end displays blank content. Cause: No fallback logic is configured for large model empty results, and no pre-verification is performed for scenarios where no matching results are retrieved from research reports.
  • Phenomenon: Operation fails when deleting dialogue records via a POST request, and a specified error status code is returned. Cause: Authentication parameters required for dialogue deletion are not correctly included, or valid dialogue ID fields are not present in the request.

How to Confirm Proper Configuration

  • Initiate a multi-round test dialogue that includes region and project type. Verify that returned results prioritize matching the latest building material data for the corresponding region.
  • Simulate a scenario where no matching results are retrieved from research reports. Confirm that the preset error handling logic is triggered, and blank content is not returned directly.
  • Call the chart tool to generate a comparison chart with specified parameters. Verify that the chart includes real fields and corresponding values from research reports.
  • Test the dialogue export function. Confirm that exported content includes complete dialogue interaction records and associated research report source information.

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.