What Data for This Category Looks Like
Engineering consulting financial report and project data primarily originates from project proposals, completion settlement reports, industry quota standards, annual corporate operating reports, and bidding documents. Data update cadence aligns with project cycles. Single-project data is updated monthly or quarterly per progress milestones. Annual financial report data is updated per calendar year. Document structures include structured fields such as project number, cost amount, and project duration, plus unstructured text such as compliance clauses and progress descriptions. Field units use standard engineering domain units like yuan, square meters, and days. Single-document length varies widely.
Constraints Imposed by These Characteristics on Knowledge Base Retrieval and Recall
The mixed structure and long-document nature of engineering consulting data requires the retrieval pipeline to support precise matching for both structured fields and unstructured text. Frequently updated project data demands index update frequency align with business cadence to avoid data lag. Parsing and segmenting long documents must avoid cutting off critical cost information or compliance clauses, otherwise core supporting evidence will be missing from retrieval results. Additionally, mixed multi-field retrieval needs to distinguish semantic weights for different data types to prevent irrelevant content from interfering with accurate recall.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall count | Top 10-15 results | Covers multi-dimensional retrieval needs for structured cost data and unstructured compliance text in engineering consulting scenarios |
Similarity threshold | 0.72-0.85 | Distinguishes semantic differences between cost data and compliance text, filters low-relevance redundant results |
Chunk size | 1200-1500 characters | Adapts to standard lengths of individual cost breakdowns and compliance clauses in engineering consulting documents, avoids truncation of critical information |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Handles ultra-long documents such as large completion settlement reports, prevents link interruptions caused by parsing timeouts |
INDEX_UPDATE_INTERVAL | Every 6 hours | Matches the weekly/monthly update cadence of engineering consulting project data, ensures index timeliness |
Rerank result count | Top 5 results | Focuses on highly relevant results, adapts to the core need for precise decision-making in engineering consulting scenarios |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: Calls to the knowledge base retrieval interface return 502 or 504 status codes, or the conversation page crashes during loading. Cause: Parsing timeout for engineering consulting long documents is not addressed,
PARSE_FILE_TIMEOUT_SECONDSis set too low, and large file parsing logic is not optimized for FastGPT 4.8.20 and later versions. - Issue: Newly created data indexes fail to return the latest project cost data in searches. Cause:
INDEX_UPDATE_INTERVALis not adjusted to match the project update cadence, leading to mismatch between index update frequency and business data update timing. - Issue: Generated financial report analysis reports forcibly include the phrase "knowledge base", or retrieval results do not return precise content combined with the current analysis context. Cause: The
INCLUDE_SOURCE_TAGparameter is not disabled in the retrieval configuration, or the topic context of the current financial report analysis is not passed to the recall interface.
How to Verify Correct Configuration
- Upload a typical engineering consulting completion settlement report, check that parsed segments match the
Chunk sizeconfiguration, with no critical information abnormally truncated. - Submit a retrieval request that includes structured cost fields, check that the number of returned results matches the
Recall countconfiguration, and that similarity scores fall within the set range. - Simulate a project data update, check that the index automatically refreshes according to the
INDEX_UPDATE_INTERVALconfiguration, and that new data can be retrieved normally. - Submit a retrieval request combined with context, check that returned results match the topic of the current financial report analysis, with no irrelevant content included.
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.