Knowledge Base Retrieval and Recall for Air Pollution

What the data for this category looks like

This use case addresses project due diligence needs in the finance, insurance, and wealth management sectors. Data sources include online air pollution source monitoring data, environmental impact assessment (EIA) reports for construction projects, governance facility operation logs, regulatory public disclosure documents from ecological environment departments, emission reduction technical plan documents, and more.

Update rhythms vary significantly: online monitoring data is updated hourly, EIA reports are updated as projects progress, and regulatory public disclosures are updated quarterly or during special inspection nodes.

Document structure includes two categories: structured fields and unstructured text. Structured fields cover pollutant concentrations, treatment air volume, desulfurization and denitrification efficiency, and other metrics. Unstructured text includes technical principles, compliance rectification requirements, project acceptance standards, and other content.

What Constraints Do These Characteristics Impose on the Knowledge Base Retrieval and Recall Link

The data characteristics of air pollution control intelligent due diligence reports impose multiple constraints on the knowledge base retrieval and recall link.

The demand for multi-dimensional structured fields requires retrieval logic to support filtering by field dimensions, preventing generic matching from introducing irrelevant content and harming the accuracy of due diligence conclusions. Real-time updated online monitoring data requires an incremental synchronization mechanism to ensure the timeliness of recalled content, adapting to the dynamic update needs of due diligence reports.

The mixed format of long documents and structured tables requires the parsing process to retain both text context and structured field information, avoiding loss of critical parameter associations after splitting. The need for cross-source data field alignment also requires the recall link to support association matching of multi-source data, ensuring the integrity of due diligence data.

Configuration Settings

Configuration Item	Recommended Range	Rationale
`chunkSize`	800–1200 characters	Air pollution control documents often contain long technical descriptions and table sections. This range preserves complete governance logic and parameter context
`chunkOverlap`	100–150 characters	Prevents loss of cross-paragraph technical associations when long documents are split, adapting to continuous descriptions of governance solutions
`Recall count`	3–5 entries	Financial due diligence reports need to cover multiple dimensions including monitoring data, governance measures, and compliance requirements. Additional recalled entries can cover all scenarios
`Similarity threshold`	0.75–0.85	Enables precise matching of precise fields such as air pollutant concentrations and governance efficiency, avoiding low-relevance general environmental protection content
`PARSE_TABLE_ENABLE`	Enabled	Air pollution control documents contain a large number of structured monitoring data tables. Enabling this option extracts fields for precise retrieval
`UPLOAD_FILE_MAX_SIZE`	500 MB	Adapts to the upload needs of large-volume documents such as single EIA reports and annual monitoring summaries

The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

Retrieval results only return 1 entry and fail to cover core monitoring data fields. Cause: The Recall count configuration was not adjusted, the default value is too low, and it does not adapt to the need for multi-dimensional data in air pollution control due diligence.
A 504 Gateway Timeout error occurs when accessing the knowledge base, and uploading large-volume documents takes too long. Cause: The UPLOAD_FILE_MAX_SIZE configuration does not adapt to large documents such as annual monitoring summaries, or the PARSE_FILE_TIMEOUT_SECONDS value is too low, causing the document parsing to time out before completion.
Specified pollutant concentration values are not extracted from retrieval results. Cause: The PARSE_TABLE_ENABLE configuration was not enabled, and structured monitoring tables in documents were not parsed, making precise matching based on fields impossible.

How to Verify Proper Configuration

Upload a single 100 MB EIA report, check if the parsed segmented content includes structured fields, and confirm that the PARSE_TABLE_ENABLE configuration is active.
Initiate a retrieval containing the keywords "PM2.5 concentration" and "desulfurization and denitrification efficiency", verify that the number of returned results matches the preset Recall count configuration.
Upload a document of the maximum compliant volume, verify that the upload and parsing processes have no errors, and confirm that the UPLOAD_FILE_MAX_SIZE configuration is reasonable.
Adjust the Similarity threshold to 0.8, retrieve specific governance solution keywords, and check whether the relevance of returned results meets expectations.

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.