Deployment and Upgrade for Decoration Industry Research Report Retrieval

Data sources for decoration industry research reports mainly include public materials from industry associations, product documents from building

What the data for this category looks like

Data sources for decoration industry research reports mainly include public materials from industry associations, product documents from building material manufacturers, decoration specification documents from local housing and urban-rural development departments, and completed project reports from decoration construction enterprises. The data update rhythm varies by content type: industry policy reports are updated in real time when policies are released, building material product documents are updated with new product iterations, and comprehensive industry reports are released quarterly or annually. Each single document contains four core modules: project overview, material list, cost details, and construction process. Fields include "construction area" (unit: square meters), "material unit price" (unit: yuan/kilogram), "construction duration" (unit: days), "environmental protection standards" (marked with national standard number), and others. Some documents include structured cost breakdown tables and unstructured construction experience summaries.

Constraints imposed by these characteristics on deployment and upgrade

The multi-source and scattered nature of decoration industry research reports requires configuring multi-data source access adaptation rules during deployment, and compatible support for new data source formats and fields during upgrade. The mixed structure of structured parameters and unstructured text requires configuring segment parsing and structured extraction rules during deployment, and adapting to new document modules during upgrade. The diversity of field units requires configuring unified unit mapping and conversion logic during deployment, and handling new unit types during upgrade. Some data comes from official public channels, requiring configuring access proxies during deployment, and adapting to interface changes of the channels during upgrade.

How to set configurations

Configuration KeyRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS600–900 secondsDecoration industry research reports contain multi-module content and require structured table parsing, so extended parsing duration is needed
UPLOAD_FILE_MAX_SIZE2000 MBSome large comprehensive industry research reports have high file sizes, so large file upload requirements must be supported
maxContext8000–12000 charactersMulti-module content of decoration research reports requires sufficient context to associate parameter information across different modules
Recall Top KTop 8–12 resultsDecoration scenarios have significant segmentation differences, so sufficient candidate documents must be recalled to match precise requirements
DOCKER_PULL_RETRY_TIMES3–5 attemptsDomestic deployment environments experience network fluctuations when pulling official images, so a retry mechanism must be configured to reduce failure probability
WORKFLOW_API_TIMEOUT120 secondsNested knowledge base assistant workflows handle multi-document retrieval and association, so extended API timeout duration is needed

The parameter values provided on this page are common starting points for configuration setup. Actual values are influenced by material form, data volume and business rules. Specific issues require individualized analysis, and it is recommended to test on your own samples before finalizing.

Three common errors

  • Symptom: The bad_response_status_code error occurs during deployment, and logs show image pull failure. Cause: Docker image acceleration address is not configured in the domestic network environment, so direct access to the official source is unavailable.
  • Symptom: Calling the nested knowledge base workflow API in v4.8.12-alpha version returns empty values. Cause: Knowledge base association parameters of the workflow are not correctly configured, or context length exceeds the maxContext limit leading to content truncation.
  • Symptom: Unit-inconsistent cost data appears in retrieval results, unable to correctly match user requirements. Cause: Field mapping and unit conversion rules are not configured, and field formats of different data sources are not unified.

How to confirm configurations are correct

  • Execute a local image pull test to verify whether the DOCKER_PULL_RETRY_TIMES configuration takes effect, and confirm that images can be pulled normally.
  • Upload a decoration industry research report document, check that parsing duration does not exceed the value set by PARSE_FILE_TIMEOUT_SECONDS, and no parsing failure errors occur.
  • Initiate a test retrieval, check that field units of returned results are unified, and confirm that documents matching requirements are recalled preferentially.
  • Call the workflow API, verify that returned results contain valid content with no empty values returned.

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.