What the Data for This Category Looks Like
Data for air pollution control marketing content primarily originates from project delivery documents supporting financial institutions’ green credit services, environmental impact assessment (EIA) approval reports, technical research and development white papers, customer case collections, and publicly available industry environmental protection standard documents. Updates occur on demand when new policies take effect, project deliveries are completed, or marketing campaigns are adjusted, with no fixed cycle. Individual documents typically include fields such as project name, governance process type, pollutant emission control parameters, applicable scenarios, and service workflows. Most parameter units use professional environmental measurement units including mg/m³, Nm³/h, tons/year, and similar units. Some marketing materials additionally include customer feedback, proposed solution quotation ranges, and related content.
What Constraints Do These Characteristics Impose on Knowledge Base Retrieval and Recall?
The mixed document structure of professional parameters and scenario-based marketing content requires retrieval to support both exact matching of technical terms and semantic matching of scenario requirements. Multi-source data requires differentiation between official standards and project cases to prevent recall content from containing conflicting standards. The on-demand update feature requires support for incremental synchronization instead of full re-crawling to reduce platform load. Long technical paragraphs require proper segmentation to avoid losing critical logical connections during retrieval. Additionally, the marketing focus for enterprise customers requires recall results to balance professional rigor and readability, rather than returning only pure technical documents.
Configuration Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
chunk_size | 1000–1500 characters | Air pollution control documents often contain long sections of process parameters and case descriptions. This segmentation length preserves the integrity of professional logic while ensuring retrieval accuracy |
maxContext | 8000–12000 characters | Adapts to the context transfer requirements of long documents, avoiding loss of critical project background and parameter information due to context truncation |
RECALL_TOP_K | Top 8–12 results | Balances the display needs of technical details and marketing information. Too many results will distract users, while too few will not cover the concerns of different customer groups |
SIMILARITY_THRESHOLD | 0.72–0.80 | Balances exact matching of professional terms and semantic matching of scenarios, avoiding irrelevant general environmental protection content from being included while retaining recall results adapted to customer needs |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Adapts to the parsing time required for large EIA reports and multi-page technical white papers, avoiding document parsing failures due to timeouts |
UPLOAD_FILE_MAX_SIZE | 500 MB | Accommodates complete project documents including drawings and data tables, avoiding upload failures due to excessive file size |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: A
Validation failed: name: Pathnameis required.error is returned when a knowledge base is generated via web static links. Cause: The required name field for knowledge base entries was not filled in, or no valid title was extracted as the default name from the crawled page. - Issue: An error returning
404 Not Foundor an empty field appears when knowledge base citations are viewed in chat responses. Cause: The knowledge base document was deleted or moved, the index was not updated synchronously, or the recalled document path configuration is incorrect. - Issue: Feishu knowledge base data cannot be accessed, and data synchronization cannot be completed. Cause: API permissions for the Feishu Open Platform were not configured, or public access permissions for the Feishu knowledge base were not enabled, resulting in failed data crawling.
How to Confirm Proper Configuration
- A typical air pollution control technical white paper is uploaded, and parsed segments are checked to confirm they retain complete process parameter paragraphs with no obvious truncation or logical breaks.
- A retrieval request containing professional terms is submitted, and the
namefield of the recall results is verified to match the document title, with no missing or incorrect entries. - Multiple concurrent retrieval requests are simulated, current limit errors are checked for triggering, and current limit parameters are confirmed to be adapted to the business request rhythm.
- Knowledge base index logs are reviewed, and newly added marketing material documents are confirmed to have completed incremental synchronization with no parsing failed entries.
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.