What Data for This Category Looks Like
Data sources include officially released government service item lists, service handling guides, window service specifications, project approval material requirements, and similar documents. Update cycles are quarterly or semi-annual, with no real-time update requirements. Document structures include fixed fields: item name, handling conditions, declaration material list, handling time limit, window address, contact information for inquiries, and more. Units mostly use standardized formats such as working days and phone numbers. Individual document lengths range from hundreds to thousands of characters.
Constraints Imposed on Vector Models and Indexing
Urban investment platform business data contains a large number of structured fields and long-text service handling guides. This requires vector models to support both structured field matching and unstructured text retrieval. Data update frequency is low, so high-frequency full indexing is unnecessary. Incremental indexing can be used. The span of individual document lengths is large. Chunk granularity must be controlled appropriately to retain key business information. Multiple standardized fields require index configurations to adapt to the retrieval weights of different fields. This prevents generic search results from interfering with the accuracy of business guidance.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapt to the single-paragraph text length of urban investment platform service handling guides, avoid splitting key process information |
| Overlap Length | 50–100 characters | Retain process connection content between chunks, avoid information gaps during retrieval |
maxToken | 8192 token | Adapt to the input context limits of large model APIs, avoid exceeding model processing upper limits |
| Similarity Threshold | 0.75–0.85, calibrated via actual testing | Match the precise matching requirements of urban investment platform business items, filter irrelevant generic service content |
| Single Search Limit | Top 10 entries | Control the number of returned results, focus on the most relevant business handling guidance |
| Reranking | Enabled | Perform secondary sorting on initial search results, improve matching accuracy for urban investment platform business items |
Three Common Misconfigurations
- Mixed retrieval requests take more than 10 seconds. The cause is that both full-text retrieval and vector retrieval channels are enabled, and the number of returned entries per search is not limited. This leads to excessive computational load.
- Index building stops at the last group of data with no progress. The cause is that the breakpoint resume function is not configured, and the number of imported files or total data volume exceeds the system's single-processing limit.
- Knowledge base creation fails, stuck at the indexing step. The cause is that imported files contain unsupported formats, or text in files has garbled characters. This leads to interruption during the vector generation process.
How to Confirm Proper Configuration
- Initiate a typical business handling inquiry, verify that the matching degree of returned results meets preset business guidance requirements.
- Import a batch of test urban investment platform service handling guide files, observe whether the indexing progress completes normally, with no stagnation or errors.
- Test single vector retrieval and mixed retrieval response times separately, confirm compliance with response requirements of the business scenario.
- Check the knowledge base indexing logs, confirm that all imported files have completed vector generation and index construction.
All configuration values listed here are common starting points. They should be evaluated against the reader's own samples and use cases.
Reference only; verify against the target FastGPT release and deployment documentation.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.