@n8n/n8n-nodes-langchain
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text/typescript
/**
* Simple Vector Store Node - Version 1.1
* Discriminator: mode=insert
*/
/** Insert documents into vector store */
export type LcVectorStoreInMemoryV11InsertParams = {
mode: 'insert';
/**
* The key to use to store the vector memory in the workflow data. The key will be prefixed with the workflow ID to avoid collisions.
* @default vector_store_key
*/
memoryKey?: string | Expression<string> | PlaceholderValue;
/**
* Number of documents to embed in a single batch
* @default 200
*/
embeddingBatchSize?: number | Expression<number>;
/**
* Whether to clear the store before inserting new data
* @default false
*/
clearStore?: boolean | Expression<boolean>;
};
export interface LcVectorStoreInMemoryV11InsertSubnodeConfig {
embedding: EmbeddingInstance | EmbeddingInstance[];
documentLoader: DocumentLoaderInstance | DocumentLoaderInstance[];
}
export type LcVectorStoreInMemoryV11InsertNode = {
type: '@n8n/n8n-nodes-langchain.vectorStoreInMemory';
version: 1.1;
config: NodeConfig<LcVectorStoreInMemoryV11InsertParams> & { subnodes: LcVectorStoreInMemoryV11InsertSubnodeConfig };
};