What This Category’s Data Looks Like
Data for this category typically comes from CRM systems, product usage data, internal ticket statistical ledgers, and contract management ledgers. Daily produced documents include customer health reports, renewal forecast sheets, high-risk customer lists, and cross-role communication minutes. Data update cycles follow weekly or monthly intervals. Document fields usually include customer identifiers, contract expiration dates, renewal status levels, risk triggers, and follow-up records. There is no unified fixed unit format, so adaptation must be flexible based on document type.
Constraints on Knowledge Base Retrieval and Recall
Scattered data sources and fixed update cycles require knowledge base retrieval to support associated recall across multiple datasets. This prevents missed customer renewal risk judgments caused by data silos. Unstructured communication minutes and non-uniform document fields require recall rules adapted to multiple document types. Retrieval must also support filtering results by fields such as customer risk level and contract cycle. Weekly or monthly data updates mean high-frequency real-time knowledge base synchronization is not needed. However, original document field information must be retained during synchronization to ensure full renewal-related data for corresponding customers can be retrieved during searches. Additionally, retrieval queries in internal ticket and on-call scenarios are mostly immediate risk checks or ticket processing requests. Retrieval logic must be optimized to match semantic recall performance for short queries.
Configuration Settings
These configurations are optimized for FastGPT v4.17.0:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Matches the semantic similarity range for renewal-related documents, filters low-relevance redundant results while retaining weakly relevant documents for high-risk customers |
limit | Top 10 results | Matches single-round retrieval result volume for internal tickets and health reports, avoids context overload that impacts operational on-call response efficiency |
searchMode | hybrid | Combines keyword and semantic retrieval to cover different retrieval needs for structured contract fields and unstructured communication minutes |
usingReRank | Enabled | Performs secondary sorting on recall results, raises the ranking priority of documents related to high-risk customers, and speeds up risk troubleshooting |
datasetSearchUsingExtensionQuery | Enabled | Automatically optimizes renewal-related retrieval queries, supplements implicit conditions such as contract cycle and risk level, and improves retrieval accuracy |
collectionIds | Bound by business group | Binds dedicated datasets such as customer health and renewal ledgers, avoids retrieving irrelevant customer training and user manual documents |
Three Common Configuration Mistakes
- Retrieval returns no results, with the interface displaying "No matching results". Causes include failure to bind dedicated datasets such as customer health reports and renewal ledgers, or setting the
similaritythreshold too high, which filters all valid results. - Locally deployed models fail to load when creating a knowledge base, with the interface prompting "Model not found". Causes include failure to sync OneAPI model configurations to the system retrieval module, or failure to grant model permissions for use with the knowledge base.
- Notion links fail to import correctly, with the interface displaying "Link parsing failed". Causes include failure to configure external link access permissions, or failure to open Notion document sharing settings to the system.
How to Confirm Configuration Is Complete
- Manually enter a renewal-related test query, such as "A customer’s contract expiration date and risk level", and verify that returned results include dedicated documents such as customer health reports and high-risk customer lists.
- View knowledge base sync logs, confirm that incremental updates for renewal-related datasets are completed on a weekly or monthly basis, with no sync failure records.
- Adjust the
similaritythreshold to 0.7, verify that low-semantic-similarity but highly relevant historical communication minutes are recalled, and confirm that the threshold configuration meets business needs. - Check the
collectionIdsin the retrieval configuration, confirm that all renewal-related datasets under the current business group are bound, and that no core document sources are omitted.
The values provided here are common starting points, and should be evaluated 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 2026-10-19.