Data Characteristics for This Category
Infrastructure engineering research report data mainly comes from public quota standards issued by industry regulatory authorities, special reports from design institutes, project ledgers of construction enterprises, and results from third-party industry research institutions. The update rhythm adjusts with project progress. Research reports for new construction projects are updated in real time along with approval and construction milestones. Research reports for existing projects are updated quarterly. Most documents are a mix of structured and semi-structured content, including fields such as project number, construction location, bill of quantities, material unit price, construction period, and cost budget. Units use standard engineering units like cubic meters, square meters, tons, and ten thousand yuan.
Constraints Imposed by These Characteristics on Knowledge Base Retrieval and Recall
The multi-source mixed structure of infrastructure engineering research reports requires the knowledge base parsing module to support both structured tables and semi-structured text, to avoid missing field extraction. Real-time updated milestone documents require retrieval and recall to support incremental synchronization and incremental recall by project, to avoid redundancy from full-scale retrieval. The presence of professional fields and engineering units requires the retrieval matching process to load industry-specific thesauri, to improve the accuracy of keyword recall. Long-text cost analysis chapters require a chunking strategy adapted to engineering long paragraphs, to avoid semantic fragmentation.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_CHUNK_SIZE | 800–1200 characters | Infrastructure engineering research reports often contain long paragraphs of bill of quantities and cost analysis. This range preserves semantic integrity and avoids cutting professional content |
RECALL_TOP_K | Top 10–15 results | Infrastructure engineering research reports have strong professional relevance. Too many recall results increase context redundancy, while too few may miss precise matching content |
SIMILARITY_THRESHOLD | 0.72–0.8 | Semantic similarity differentiation for engineering keywords is relatively high. This range filters low-relevance general documents and retains professional matching results |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | A single infrastructure engineering research report may contain multiple pages of quantity tables, leading to long parsing time. This duration covers the parsing process for most large documents |
UPLOAD_FILE_MAX_SIZE | 500 MB | Infrastructure engineering research reports often include high-definition drawings and batch data tables. This upper limit meets the upload requirements for most large project documents |
RE_RANK_TOP_K | Top 5 results | The re-ranking step focuses on the most relevant professional content, reducing the load on subsequent context windows |
The parameter values provided on this page are conventional recommendations used to determine the starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing the configuration.
Three Common Mistakes
- Phenomenon: After submitting a query containing 10,000 rows of engineering data, the retrieval response times out or returns results with delay. Cause: No chunked recall strategy is configured for long-text queries, causing the retrieval link to load excessive redundant data.
- Phenomenon: The end of the knowledge base answer displays "No permission to operate this conversation record", and citation display cannot be canceled. Cause: The permission switch for citation display is not configured correctly, or the conversation record permission verification logic is not adapted to the private document scenario of research report knowledge bases.
- Phenomenon: After uploading a Word-format infrastructure engineering research report, the knowledge base can recognize image links, but cannot generate answers based on image content during the question and answer process. Cause: Image OCR parsing and text vectorization configuration are not enabled. Only image links are extracted, and the text content within the images is not extracted.
How to Confirm Proper Configuration
- Upload a typical infrastructure engineering research report document, check if the parsed chunks retain the complete semantics of the bill of quantities and cost analysis, and verify that the chunk configuration meets preset requirements.
- Enter a professional engineering keyword, confirm that the number of retrieval results falls within the preset recall range, and that the similarity meets the set verification standard.
- Test uploading a Word document containing images, confirm that the parsed content extracts text from the images, and does not only retain image links.
- Submit a test query containing long text, check that the retrieval response time meets the preset timeout configuration, and that no unresponsive or timeout errors occur.
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.