What the data for this category looks like
Data for telecommunications engineering construction matter handling consulting and reply mainly comes from industry construction specifications, acceptance standards, construction approval process documents, operation manuals, and historical consultation records from offline service windows. Industry specifications are updated every 1 to 2 years. Historical consultation records are stored in real time. Document structures include fields such as item code, handling process, required materials, approval time limit, and charging standards. Some documents are structured tables. Historical consultation records are unstructured question-and-answer text. Units include workdays, copies, yuan, square meters, and other engineering-related measurement standards.
What constraints these characteristics impose on the knowledge base retrieval and recall workflow
Dense professional terminology in documents requires retrieval to balance semantic matching and exact matching. This avoids recall failure caused by terminology differences. Mixed data sources of structured process documents and unstructured historical records require retrieval modes to support both full-text retrieval and semantic retrieval. This covers different types of consultation questions. Low data update frequency but long single document length requires chunking to retain process integrity. This avoids splitting step logic. Real-time synchronization of historical consultation records requires retrieval services to have low-latency pulling capabilities. This ensures availability of the latest consultation data.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.72–0.85 | There are many professional terms in telecommunications engineering, this range filters irrelevant results and retains valid semantically matched content |
limit | Top 8 entries | Consulting on matters needs to cover common processes and special scenarios, too many results will interfere with user judgment |
searchMode | Hybrid retrieval | Adapts to content up to 2000 characters per single document, covers structured and unstructured data sources |
usingReRank | Enabled | Professional terms easily cause mixed semantically similar results, re-ranking improves result relevance |
datasetSearchUsingExtensionQuery | Enabled | Consulting on matters often uses abbreviations, extended queries can match full standard terms |
collectionIds | Bind to the telecommunications engineering construction matter knowledge base collection | Accurately match data exclusive to this category, avoid recalling irrelevant domain content |
Reference only; verify against the target FastGPT release and deployment documentation.
Three Common Misconfigurations
- The symptom is a
Connection errorerror returned during retrieval. The cause is that the correct knowledge base storage path or remote service access permissions are not configured, preventing normal pulling of exclusive documents for telecommunications engineering construction. - The symptom is that the number of retrieval results is far lower than expected. The cause is that the
similarityvalue is set too high, filtering out valid matched results containing professional terms. - The symptom is that the output content does not mark the knowledge base source. The cause is that the retrieval result traceability configuration is not enabled, or the exclusive
collectionIdscollection is not bound.
How to Verify Successful Configuration
- Upload one telecommunications engineering construction approval process document, initiate a consultation containing professional terms such as "base station approval" and "optical fiber splicing", check whether the retrieval results include relevant content of this document.
- View the retrieval logs in the FastGPT backend, confirm that configuration parameters such as
searchModeandusingReRankmatch the preset values. - Initiate a test query, check whether the output result is attached with a knowledge base source identifier, confirming that the traceability function is working properly.
- Adjust the value range of
similarity, observe the number change of retrieval results, verify that the configuration takes effect.
All configuration values listed here are common starting points, and should be evaluated against your own specific samples.
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.