What Data for This Category Looks Like
Infrastructure construction marketing content data primarily originates from project tenders, annual operation reports, construction case manuals, supplier quotation lists, and internal project management documents. Update frequency aligns with project milestones and annual report cycles. Marketing materials are released as needed.
Document types include hundreds-page PDF annual reports, Excel supplier lists with tens of thousands of rows of data, and Confluence project documents deployed on internal networks. Document fields cover professional content such as project numbers, cost amounts (units: ten thousand yuan, cubic meters), construction periods, and qualification levels. A large number of industry-specific terms and cross-paragraph associated descriptions are present.
Constraints on Document Parsing and Chunking
The long-form nature of infrastructure construction documents requires the parsing stage to support cross-page content splicing. This prevents a single professional description from being split into multiple disconnected chunks.
The coexistence of multi-source documents requires parsing tools to adapt to both publicly accessible external network documents and internal network permission-restricted documents. Failure to do so will result in unreadable internal network resources.
Excel documents have standardized fields and large volumes of row data. The chunking stage must retain the association between headers and corresponding rows to avoid chaotic data splitting.
Professional terms and cross-paragraph associated content require a sufficient context overlap rate during chunking. This prevents semantic breaks that negatively impact subsequent retrieval effects.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_INTRANET_URL_ENABLE | Enabled | Infrastructure construction marketing content often includes internal Confluence and project management system documents. Enabling internal network parsing permissions covers all data sources |
maxChunkSize | 800–1200 characters | Infrastructure construction documents contain long professional sentences. Overly long chunks increase retrieval redundancy, while overly short chunks damage the integrity of professional semantic units |
CHUNK_OVERLAP_RATE | 15% | Infrastructure construction documents have cross-paragraph professional associations, such as the binding of construction technology and cost descriptions. An overly low overlap rate causes context breaks |
UPLOAD_FILE_MAX_SIZE | 2048 MB | Infrastructure construction annual reports and large project tenders often have hundreds of pages, with large single-file sizes. This setting adapts to large file upload requirements |
PARSE_EXCEL_HEADER_MODE | Fixed header recognition | Infrastructure construction Excel documents have standardized cost, construction period, and qualification fields. Fixed header recognition prevents headers from separating from corresponding rows during data chunk splitting |
PARSE_TIMEOUT | 600 seconds | Parsing long PDF documents requires extended processing time. This setting avoids task failure due to timeout interruptions |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Internal Confluence page content is empty after parsing. Cause: Internal network URL parsing permissions are not enabled, or internal network documents are not configured for public access permissions.
- Symptom: The number of chunks generated after parsing an ultra-large PDF annual report is far lower than expected. Cause: The
maxChunkSizeparameter is not adjusted, the default chunk length does not adapt to long professional texts, or the long document pagination parsing function is not enabled. - Symptom: Incomplete interaction prompts are returned after parsing an Excel document. Cause: The Excel header recognition mode is not correctly configured, leading to chaotic data chunk splitting and triggering model recognition errors.
How to Verify Proper Configuration
- Upload an internal Confluence infrastructure project document, and check if the parsed result includes complete project descriptions and professional fields.
- Upload a 500+ page infrastructure annual report PDF, confirm that the parsing task does not time out, and that the number of generated chunks meets business expectations.
- Upload an Excel document containing cost and construction period fields, and check if the parsed chunks retain the association between headers and corresponding row data.
- Adjust the
maxChunkSizeparameter, compare the semantic integrity of chunks under different values, and confirm that it meets business retrieval requirements.
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.