@n8n/n8n-nodes-langchain
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text/typescript
/**
* Redis Vector Store Node - Version 1.3
* Discriminator: mode=retrieve
*/
interface Credentials {
redis: CredentialReference;
}
/** Retrieve documents from vector store to be used as vector store with AI nodes */
export type LcVectorStoreRedisV13RetrieveParams = {
mode: 'retrieve';
redisIndex?: { __rl: true; mode: 'list' | 'id'; value: string; cachedResultName?: string };
/**
* 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 LcVectorStoreRedisV13RetrieveSubnodeConfig {
embedding: EmbeddingInstance | EmbeddingInstance[];
/**
* @displayOptions.show { useReranker: [true] }
*/
reranker: RerankerInstance;
}
export type LcVectorStoreRedisV13RetrieveNode = {
type: '@n8n/n8n-nodes-langchain.vectorStoreRedis';
version: 1.3;
credentials?: Credentials;
config: NodeConfig<LcVectorStoreRedisV13RetrieveParams> & { subnodes: LcVectorStoreRedisV13RetrieveSubnodeConfig };
};