Knowledge Base Retrieval and Recall for Decoration and Renovation Intelligent Due Diligence Reports

Data for decoration and renovation intelligent due diligence reports comes primarily from three channels: qualification certificates of decoration and

What This Category's Data Looks Like

Data for decoration and renovation intelligent due diligence reports comes primarily from three channels: qualification certificates of decoration and renovation enterprises, project completion filing materials, and third-party material test reports. Some projects also include scanned on-site construction photos and supervision logs.

Update rhythms differ across sources: enterprise qualifications are verified and updated uniformly by housing and urban-rural development departments every 1 to 3 years. Project completion materials are updated in real time alongside project acceptance. Material testing standards are revised by industry associations every 2 to 3 years.

Document formats include structured Excel ledgers, signed and sealed PDF qualification files, and Word-format construction contracts and test reports. Core fields include decoration grade, material environmental protection grade, construction area, and project cost. Corresponding units are grade identifiers, E0/E1 grades, square meters, and ten thousand yuan respectively.

Constraints on Knowledge Base Retrieval and Recall

These data characteristics impose clear constraints on the knowledge base retrieval and recall link. Multiple heterogeneous data sources require the system to support cross-format indexing. It must adapt to PDF seal recognition, Excel structured field extraction, and Word long text segmentation.

Mixed document structures and inconsistent field units require unit mapping rules. This prevents chaotic cost units and inconsistent area units in retrieval results. Large differences in update rhythms require separate trigger logic for full indexing and incremental updates. This prevents high-frequency updated project materials from occupying excessive server resources.

Dense industry-specific terminology such as "light steel keel" and "fire retardant coating grade" requires retrieval models adapted to professional semantics. This reduces the risk of semantic deviation from general-purpose models.

Configuration Recommendations

Configuration ItemRecommended ValueRationale
recall_top_kTop 10 resultsDecoration and renovation due diligence requires coverage of multiple data types including qualifications, projects, and materials. Top 10 results ensure no core information is missed
rerank_top_nTop 5 resultsSingle due diligence report must focus on core compliance items and key data. Excessive redundant recall results will interfere with conclusion output
similarity_threshold0.72-0.80Decoration and renovation industry has a high proportion of professional terminology. A higher threshold filters irrelevant retrieval results from general building materials categories
parse_chunk_size800-1200 charactersConstruction contracts and test reports are mostly long texts. Segmentation must retain clause integrity to avoid splitting professional term combinations
incremental_update_interval2:00 AM dailyHousing and urban-rural development filing data and enterprise qualification update cycles are fixed. Incremental updates reduce server load and index reconstruction time
rerank_modelDetermined through actual testingA rerank model adapted to decoration and renovation professional corpus must be selected. General models risk semantic misunderstanding of industry terminology

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

Three Common Configuration Mistakes

  • Phenomenon: Workflow call return results include the original query and recall fragments from knowledge base retrieval. Cause: The "return reference details" configuration item was not disabled in the knowledge base call node of the workflow, resulting in redundant content in tool output.
  • Phenomenon: The rerank_result: false field is displayed in the question-and-answer interface, and no accurate rearranged results are returned. Cause: The rerank model was not enabled in the corresponding knowledge base settings, or the selected rerank model was not fine-tuned with professional corpus, so it cannot adapt to decoration and renovation industry terminology.
  • Phenomenon: Upload failure is triggered after uploading batch decoration drawing PDFs in local deployment. Cause: The UPLOAD_FILE_COUNT_LIMIT and UPLOAD_FILE_MAX_SIZE parameters were not adjusted. The default configuration cannot adapt to large-capacity decoration drawing files.

How to Verify Correct Configuration

  • Enter the management interface of the corresponding knowledge base, check whether the rerank_model has selected a model adapted to the professional field. Test whether the rearranged results meet expectations by uploading a single decoration qualification document.
  • Launch a test query related to decoration due diligence. Check whether the number of retrieved results matches the recall_top_k configuration value. Verify that the similarity score falls within the preset interval.
  • After configuring the incremental update task, check the system logs to confirm that only filing data and qualification documents updated that day are synchronized, and no full index reconstruction is triggered.
  • Call the workflow node to launch a test. Confirm that the returned results do not include the original query and recall fragments from knowledge base retrieval, and only display the sorted due diligence conclusions.

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.