Knowledge Base Retrieval and Recall for Building

What data for this category looks like

Building construction engineering investment research data comes primarily from construction drawing design files, cost budget estimates, construction logs, material test reports, bidding documents, and industry standard atlases. Data updates align with the construction phase progress of individual projects, alongside annual industry standard revisions and local cost information updates. Documents primarily include structured tables, long-text technical briefings, and scanned document transcriptions. Fields include project ID, material brand, specification model, test report number, construction process node, and more. Units use engineering-specific measurement standards such as cubic meters, square meters, tons, yuan per square meter, and others.

What constraints these characteristics impose on retrieval and recall

Structured tables account for a large share of building construction engineering data. Retrieval links must support field-level precise matching to avoid invalid results from fuzzy matching. Many long-text documents have logical process connections. When segmenting documents, context integrity must be maintained to prevent splitting from disrupting technical description coherence. Project data and industry standards are updated frequently. Retrieval systems must support incremental synchronization and rapid updates. Large-scale batch document import is a common need. This places higher requirements on the system’s parsing current limiting and memory usage.

How to set configurations

Configuration Item	Recommended Value	Rationale
`Segment Max Length`	800–1200 characters	Building construction engineering documents often contain continuous process descriptions and material parameters. This range preserves complete information for a single process or single material category, avoiding damage to logical connections from improper splitting.
`Recall TopK`	Top 10–15 results	Building construction engineering retrieval requires matching multi-dimensional parameters. Too many results increase screening costs for investment research personnel. Too few results fail to cover relevant technical and cost entries.
`Similarity Threshold`	0.72–0.85	Technical parameters for building construction engineering require precise matching. A threshold that is too low introduces irrelevant material or process data. A threshold that is too high may miss valid qualifying results.
`UPLOAD_BATCH_LIMIT`	12–15 per batch	Aligns with platform default upload limits, adapts to resource consumption for single-batch imports, and avoids triggering system current limiting errors.
`Field Parsing Switch`	Enabled	Building construction engineering documents contain a large number of structured fields. Enabling this allows precise field-based retrieval, improving the targeting of recall results.
`Reranked Return Count`	Top 5–8 results	Final displayed results must focus on core parameters. Reranking filters redundant entries to meet the rapid review needs of investment research personnel.

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

Three Common Misconfigurations

Issue: A maxLength error is triggered when importing 50,000+ markdown documents in bulk. Cause: The Segment Max Length parameter was not adjusted. Excessively long single documents exceed the system's preset per-segment character limit during parsing.
Issue: Knowledge base search responses time out. Cause: The Recall TopK quantity was not limited, and full field parsing was enabled at the same time. The volume of documents scanned during a single retrieval is too large, exceeding the system's processing threshold.
Issue: Non-specified types of building materials appear in retrieval results. Cause: The Field Parsing Switch was not enabled. Only full-text fuzzy matching was used, making precise filtering of entries matching building construction engineering-specific parameters impossible.

How to Confirm Configurations Are Set Correctly

Upload a single building construction engineering document containing a material price list. Check if structured fields such as brand and specification model are retained after parsing.
Search for keywords for a specific construction process. Verify that the number of returned results falls within the preset Recall TopK range.
Import more than 10 building construction engineering documents in bulk. Check that parsing and storage are completed normally, and no current limiting errors are triggered.
Adjust the similarity threshold. Search for keywords for the same material specification. Compare changes in the accuracy of returned results to confirm the threshold meets business needs.

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.