@n8n/n8n-nodes-langchain
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text/typescript
/**
* Redis Vector Store Node - Version 1.3
* Discriminator: mode=load
*/
interface Credentials {
redis: CredentialReference;
}
/** Get many ranked documents from vector store for query */
export type LcVectorStoreRedisV13LoadParams = {
mode: 'load';
redisIndex?: { __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>;
/**
* Options
* @default {}
*/
options?: {
/** The comma-separated list of words by which to apply additional full-text metadata filtering
*/
metadataFilter?: string | Expression<string> | PlaceholderValue;
/** Prefix for Redis keys storing the documents
*/
keyPrefix?: string | Expression<string> | PlaceholderValue;
/** The hash key to be used to store the metadata of the document
*/
metadataKey?: string | Expression<string> | PlaceholderValue;
/** The hash key to be used to store the content of the document
*/
contentKey?: string | Expression<string> | PlaceholderValue;
/** The hash key to be used to store the embedding of the document
*/
vectorKey?: string | Expression<string> | PlaceholderValue;
};
};
export interface LcVectorStoreRedisV13LoadSubnodeConfig {
embedding: EmbeddingInstance | EmbeddingInstance[];
/**
* @displayOptions.show { useReranker: [true] }
*/
reranker: RerankerInstance;
}
export type LcVectorStoreRedisV13LoadNode = {
type: '@n8n/n8n-nodes-langchain.vectorStoreRedis';
version: 1.3;
credentials?: Credentials;
config: NodeConfig<LcVectorStoreRedisV13LoadParams> & { subnodes: LcVectorStoreRedisV13LoadSubnodeConfig };
};