What the data for this category looks like
Data related to business handling for metal material processing mainly comes from workshop process cards, quality inspection reports, equipment maintenance logs, and business approval process rules. Data updates occur after a single production task completes, or during monthly routine updates. Most documents are chaptered operation steps, parameter tables, and approval node descriptions. Fields include material grade, processing procedure, tolerance range, and approver permissions. Units are mostly professional industrial units such as millimeters (mm), megapascals (MPa), and tons (t).
What constraints do these characteristics impose on the "knowledge base retrieval and recall" link
Metal material processing documents contain a large number of precise parameters and hierarchical structures. Retrieval must match exact fields such as material grade and processing procedure to avoid invalid results from fuzzy recall. The hierarchical structure of documents organized by production flow requires recalled results to be associated with upstream and downstream procedure-related documents, aligning with the linear logic of business handling. The non-fixed update rhythm requires configuring incremental synchronization mechanisms to avoid excessive resource usage from full synchronization. The presence of professional units and terms requires the retrieval model to adapt to industrial professional semantics to improve matching accuracy.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Metal material processing documents contain a large number of precise parameters. A higher similarity threshold filters irrelevant content and retains high-matching process and procedure documents |
limit | Top 8 entries | Business handling processes usually include 3-5 core procedures. Recalling the top 8 entries covers associated approval and operation documents for upstream and downstream procedures |
searchMode | keyword+vector | Documents contain both text descriptions and precise parameters. Hybrid retrieval balances semantic matching and precise keyword matching |
usingReRank | Enabled | Recalled results must be sorted by the priority of business process nodes to improve the logical coherence of business handling guidance |
datasetSearchUsingExtensionQuery | Disabled | Business handling questions mostly ask for precise steps. Extended queries easily recall irrelevant documents and disrupt the guidance process |
collectionIds | Bind the dedicated knowledge base collection for metal material processing | Isolate documents from other categories to avoid result confusion from cross-category retrieval |
Three common misconfigurations
- Phenomenon: A large number of documents unrelated to the current business process appear in retrieval results, and the number of results exceeds expectations. Cause: The
collectionIdsdedicated knowledge base collection binding is not configured, so the retrieval scope covers the entire platform's knowledge base. - Phenomenon: Garbled characters appear in the knowledge base after online deployment, while local deployment works normally. Cause: The online server does not unify document encoding to UTF-8. Metal material processing documents contain professional symbols such as MPa and mm, and encoding mismatches cause parsing errors.
- Phenomenon: The knowledge base search entry is forcibly displayed in retrieval results and cannot be hidden. Cause: The retrieval result display switch is not turned off in the business process guidance configuration, and the retrieval result pop-up is enabled by default.
How to confirm the configuration is correct
- Upload a test document containing a specific material grade and processing procedure, initiate a corresponding question, and verify that recalled results only include this document and documents for associated procedures.
- View the knowledge base import log to confirm there are no encoding error prompts, and that local and online import results are consistent.
- Check the
similarityconfiguration value to confirm it falls within the 0.75–0.85 range, filtering low-matching irrelevant content. - Test that after turning off
datasetSearchUsingExtensionQuery, retrieval results do not show irrelevant extended content, meeting the precise needs of business process guidance.
The values provided are common starting points and should be measured against the reader's own 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.