What the data for this category looks like
Engineering consulting investment research data comes primarily from project survey reports, construction logs, cost quota documents, bidding documents, and section budget estimates. The update frequency of data is adjusted based on project progress: section parameters are updated on demand after project approval, and quota libraries are updated on demand per regional policy requirements. Document structures include fields such as section number, cost unit, duration parameters, material unit prices, and regulatory clauses. Units include professional measurement standards such as yuan/cubic meter, man-day, and duration days. Single documents often contain long-form regulatory text alongside structured cost data.
Constraints on multi-turn dialogue and prompt engineering
The multi-dimensional structured fields and long-form regulatory text in engineering consulting data require multi-turn dialogue to retain key context such as project section numbers and material models, to avoid confusion during cross-turn questions. Irregular update cycles require prompts to support dynamic loading of the latest quota data, rather than relying on fixed static prompt content. Documents with high proportions of long text occupy large context windows, so single-turn dialogue context length must be limited to prevent model information truncation. The diversity of professional terms and units requires prompts to clearly specify field extraction rules, to avoid format deviations in parsing results.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Engineering consulting documents have long single-block content, and key information such as section numbers and material models in multi-turn dialogue must be retained to avoid context overflow |
recallCount | Top 6–8 entries | Engineering consulting data contains multi-dimensional structured fields; excessive recall will overload the prompt, while insufficient recall will fail to cover cross-section associated data |
similarityThreshold | 0.72–0.85 | Engineering consulting data has many professional terms; a threshold that is too low will introduce irrelevant quota clauses, while a threshold that is too high will miss reference data for the same type but different sections |
promptTemplate | Organize output by project section + field type | Clearly specify extraction of engineering consulting-specific fields in the prompt to avoid format garbling in results |
fileParseChunkSize | 1000–1500 characters | Balance the integrity of long-text professional terms and the accuracy of chunked recall, avoiding disruption of term coherence from overly short chunks |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapt to the large volume of structured data processing required for engineering consulting document parsing, preventing parsing timeouts |
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.
Three Common Misconfigurations
- Failing to limit context cache for inactive iframe sessions, leading to 504 timeouts or response delays. The root cause is the absence of session expiration cleanup rules, with a large volume of idle sessions occupying system memory resources.
- Setting
maxContextto 6, preventing the model from associating section information from the previous round of questions. The root cause is that the context information length of engineering consulting data far exceeds the 6-character limit, resulting in direct truncation of key historical information. - Garbled characters appearing in extracted fields such as cost and duration from user conversations. The root cause is that the prompt fails to specify the encoding format and unit conversion rules for engineering consulting fields, leading to abnormal structured data parsing.
How to Verify Correct Configuration
- Initiate two consecutive rounds of dialogue containing a project section number, and verify that the model can associate the previously mentioned section information to complete follow-up questions.
- Upload an engineering consulting professional document, and check whether the chunked text retains complete professional terms and units of measurement.
- Test extraction of fields such as cost and duration from conversations, and verify that the output format complies with preset engineering consulting field specifications.
- Verify that the context parameters returned by the v4.8.10 version dialogue interface match the configured values.
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.