What this category of data looks like
Railway and highway investment research data primarily comes from public bulletins issued by transportation authorities, line operation logs, passenger and freight volume statistical reports, engineering design documents, and real-time traffic monitoring data. Daily operation data is updated daily. Quarterly operation reports are updated quarterly. Annual industry reports are updated annually. CAD engineering drawings are static files with infrequent supplementary updates.
Document structures include structured tables such as passenger and freight volume, maintenance cost, unstructured text reports, and CAD-format line design drawings. Fields and units include operating mileage (kilometers), passenger and freight volume (ten thousand person-times, ten thousand tons), maintenance cost (ten thousand yuan), toll revenue (yuan), and design speed (kilometers per hour).
What constraints do these characteristics impose on deployment and upgrade
The high proportion of structured data, large differences in update rhythms, and inclusion of large drawing files in railway and highway investment research data create multiple constraints for deployment and upgrade workflows.
Structured data requires precise vector index configuration to prevent declines in retrieval accuracy. Coexisting data sources with varied update frequencies need flexible support for switching between batch incremental updates and full index rebuilding. Large CAD drawings have long parsing times, so adjustments to document parsing timeouts and resource allocations are needed. Diverse field units require standardized rules during knowledge base mapping to avoid unit confusion during retrieval. Large individual file sizes require adjustments to upload and parsing maximum limits to prevent task interruptions.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Engineering design drawings and annual operation reports for railways and highways typically have large individual file sizes |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Large CAD drawings and long text reports take extended time to parse, preventing mid-task timeout interruptions |
chunk_size | 800–1200 characters | Matches segment lengths for structured reports and long text reports, balances retrieval accuracy and context completeness |
recall_top_k | Top 10 entries | Investment research scenarios require coverage of multi-dimensional line data to ensure comprehensiveness of retrieval results |
similarity_threshold | 0.75–0.85 | Filters low-relevance unstructured documents to avoid interfering with accurate retrieval of structured data |
VECTOR_DB_BATCH_SIZE | 50 entries per batch | Balances incremental update efficiency and vector database resource usage, preventing excessive pressure from single updates |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Each scenario requires specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three frequently made mistakes
- Issue: After upgrading to 4.9.3, existing structured reports cannot be retrieved. Cause: Incremental index update was not performed; only newly uploaded files were overwritten, and the vector indexes for existing structured data were not synchronously rebuilt.
- Issue: Docker deployment fails to start, with logs displaying
proxy configuration invalid. Cause: TheAI_PROXY_URLandAI_PROXY_PORTenvironment variables were not configured correctly, or the proxy address was missing the correct port suffix. - Issue: The speech recognition function embedded in another webpage shows
permission denied. Cause: The domain name whitelist of the target webpage was not added to FastGPT's cross-origin configuration, causing the browser to block the permission request.
How to confirm the configuration is properly set
- Upload a typical railway operation report and structured report, check if the parsing task status shows completed, with no timeout or parsing failure logs.
- Initiate a retrieval for the line mileage field, verify that the returned results have the same field units as the original documents, with no unit confusion.
- Run an incremental update task, check the index update progress of the vector database, confirm that incremental data is correctly written.
- Call the test page for embedded speech recognition, confirm that permission requests are normally allowed, with no blocking errors.
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.