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    Interface RerankerConfiguration

    Configuration for agent reranking behavior. Stored as JSON in AIAgent.RerankerConfiguration column. When null or disabled, vector search results are used directly without reranking.

    interface RerankerConfiguration {
        contextFields?: string[];
        enabled: boolean;
        fallbackOnError: boolean;
        minRelevanceThreshold: number;
        rerankerModelId: string;
        rerankPromptID?: string;
        retrievalMultiplier: number;
    }
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    Properties

    contextFields? enabled fallbackOnError minRelevanceThreshold rerankerModelId rerankPromptID? retrievalMultiplier

    Properties

    contextFields?: string[]

    Optional: Additional entity fields to include when building rerank document context. Example: ['Keywords', 'Type'] to include note type and keywords in ranking context.

    enabled: boolean

    Master switch for reranking. When false, reranking is disabled.

    fallbackOnError: boolean

    Whether to fallback to original vector search results when reranker fails. When true: on error, returns unranked vector search results. When false: on error, throws an exception. Default: true

    minRelevanceThreshold: number

    Minimum relevance score (0.0-1.0) for reranked results to be included. Results below this threshold are filtered out. Default: 0.5

    rerankerModelId: string

    ID of the AIModel with type='Reranker' to use for reranking.

    rerankPromptID?: string

    Optional: AIPrompt ID for LLM-based reranking. Only used when the reranker's DriverClass is 'LLMReranker'.

    retrievalMultiplier: number

    Multiplier for initial retrieval count. If agent wants N notes, fetch N * retrievalMultiplier candidates, then rerank to top N. Default: 3

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