@n8n/n8n-nodes-langchain
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text/typescript
/**
* Simple Vector Store Node - Version 1.2
* Discriminator: mode=load
*/
/** Get many ranked documents from vector store for query */
export type LcVectorStoreInMemoryV12LoadParams = {
mode: 'load';
/**
* The key to use to store the vector memory in the workflow data. These keys are shared between workflows.
* @searchListMethod vectorStoresSearch
* @default {"mode":"list","value":"vector_store_key"}
*/
memoryKey?: { __rl: true; mode: 'list' | 'id'; value: string; cachedResultName?: string };
/**
* Search prompt to retrieve matching documents from the vector store using similarity-based ranking
*/
prompt: string | Expression<string> | PlaceholderValue;
/**
* Number of top results to fetch from vector store
* @default 4
*/
topK?: number | Expression<number>;
/**
* Whether or not to include document metadata
* @default true
*/
includeDocumentMetadata?: boolean | Expression<boolean>;
/**
* Whether or not to rerank results
* @default false
*/
useReranker?: boolean | Expression<boolean>;
};
export interface LcVectorStoreInMemoryV12LoadSubnodeConfig {
embedding: EmbeddingInstance | EmbeddingInstance[];
/**
* @displayOptions.show { useReranker: [true] }
*/
reranker: RerankerInstance;
}
export type LcVectorStoreInMemoryV12LoadNode = {
type: '@n8n/n8n-nodes-langchain.vectorStoreInMemory';
version: 1.2;
config: NodeConfig<LcVectorStoreInMemoryV12LoadParams> & { subnodes: LcVectorStoreInMemoryV12LoadSubnodeConfig };
};