@n8n/n8n-nodes-langchain
Version:
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text/typescript
/**
* Azure AI Search Vector Store Node - Version 1.3
* Discriminator: mode=insert
*/
interface Credentials {
azureAiSearchApi: CredentialReference;
}
/** Insert documents into vector store */
export type LcVectorStoreAzureAISearchV13InsertParams = {
mode: 'insert';
/**
* The name of the Azure AI Search index. Will be created automatically if it does not exist.
* @default n8n-vectorstore
*/
indexName?: string | Expression<string> | PlaceholderValue;
/**
* Number of documents to embed in a single batch
* @default 200
*/
embeddingBatchSize?: number | Expression<number>;
/**
* Options
* @default {}
*/
options?: {
/** Whether to delete and recreate the index before inserting new data. Warning: This will reset any custom index configuration (semantic ranking, analyzers, etc.) to defaults.
* @default false
*/
clearIndex?: boolean | Expression<boolean>;
/** Comma-separated list of metadata keys to store in Azure AI Search. Leave empty to include all metadata. Azure AI Search stores metadata in an "attributes" array format.
*/
metadataKeysToInsert?: string | Expression<string> | PlaceholderValue;
};
};
export interface LcVectorStoreAzureAISearchV13InsertSubnodeConfig {
embedding: EmbeddingInstance | EmbeddingInstance[];
documentLoader: DocumentLoaderInstance | DocumentLoaderInstance[];
}
export type LcVectorStoreAzureAISearchV13InsertNode = {
type: '@n8n/n8n-nodes-langchain.vectorStoreAzureAISearch';
version: 1.3;
credentials?: Credentials;
config: NodeConfig<LcVectorStoreAzureAISearchV13InsertParams> & { subnodes: LcVectorStoreAzureAISearchV13InsertSubnodeConfig };
};