What This Type of Data Looks Like
Construction engineering investment research data originates primarily from construction drawing design documents, bill of quantities, bidding and tendering documents, site visa records, completion settlement reports, and industry specification standards. Data updates follow project phases: the bidding phase adds bid control price and bid quotation documents, the construction phase supplements site change and material price adjustment records, and the completion phase submits settlement audit results. Documents include structured quantity takeoff tables, long-text construction plans, and annotated CAD-exported PDFs. Fields cover project number, floor area, material model, construction node. Units use common engineering measurement standards such as yuan per square meter, tons, cubic meters, and other standard engineering measurement units.
Constraints Imposed by These Characteristics on Context and Token
Construction engineering investment research data has strong cross-document relevance. A single completion settlement report may link to multiple site visa and change records. When recalling context, cross-document related content must be covered, which easily exceeds the per-round token limit. Structured quantity takeoff tables contain large numbers of numerical fields. If recall is not grouped by fields, irrelevant data will be introduced, increasing token consumption. A single long-text construction plan can reach tens of thousands of characters; direct upload triggers the model's context length limit. Data has a high update frequency. Context recall must prioritize change documents from the latest phase. Old documents without version markers may introduce invalid content.
Recommended Configuration Values
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Aligns with FastGPT 4.9.7 context processing logic, covers 3-4 construction project documents that require per-round linking, and matches the context limits of mainstream large models |
chunkSize | 1500–2000 characters | Construction engineering documents mix structured tables and long text. This segment interval preserves the integrity of a single bill of quantities or single section of construction plan, avoiding splitting key measurement entries |
recallTopK | Top 6–8 entries | Construction projects have many types of linked documents, including visas, bills of quantities, settlement reports, and others. Excessive recall will exceed the token limit |
similarityThreshold | 0.72–0.78 | Engineering documents have a high degree of field standardization. This threshold filters low-match irrelevant files and reduces invalid token consumption |
UPLOAD_FILE_MAX_SIZE | 500 MB | A single construction project data package may contain multiple PDFs and table files. This value allows batch upload of complete project archives |
workflowContextRetention | 24 hours | Construction project investment research conversations are mostly cross-time multi-round interactions. This duration retains context-related information within a single project cycle |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: After uploading a single 100,000-character construction plan, the knowledge base parsing fails with a token limit error (error code 413). Cause: The
chunkSizeparameter is not configured, and the long document is directly passed to the context processing logic without segment slicing. - Phenomenon: After multiple rounds of follow-up questions, subsequent answers are irrelevant and fail to link to previously mentioned project change content. Cause: The
maxContextparameter is not set or uses an excessively small value, causing old context to be truncated early and unable to retain cross-round linked information. - Phenomenon: When calling the workflow API, the returned result is irrelevant to the current construction project and fails to link to previous conversation content. Cause: No valid context session identifier is included in the API request, so the workflow cannot load the knowledge base context for the corresponding project.
How to Verify Correct Configuration
- Upload a single typical construction engineering document, check the parsed segment results, and confirm that complete quantity takeoff table entries are not split across multiple segments.
- Launch two linked questions: first query the basic cost data of a construction project, then follow up with a question about the adjustment impact of the corresponding site visa, and check if the returned result links to the previously mentioned project number and content.
- Call the workflow API to initiate multi-round requests, check if the request parameters include a valid context session identifier, and confirm that subsequent requests can inherit project information from previous conversations.
- View token consumption records, compare with configured parameter values, confirm that the token usage per round request meets expectations. Refer to the official point consumption documentation to adjust the parameter range.
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.