@n8n/n8n-nodes-langchain
Version:
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text/typescript
/**
* Azure AI Search Vector Store Node - Version 1.3
* Discriminator: mode=retrieve
*/
interface Credentials {
azureAiSearchApi: CredentialReference;
}
/** Retrieve documents from vector store to be used as vector store with AI nodes */
export type LcVectorStoreAzureAISearchV13RetrieveParams = {
mode: 'retrieve';
/**
* 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;
/**
* Whether or not to rerank results
* @default false
*/
useReranker?: boolean | Expression<boolean>;
/**
* Options
* @default {}
*/
options?: {
/** The type of search query to perform
* @default hybrid
*/
queryType?: 'vector' | 'hybrid' | 'semanticHybrid' | Expression<string>;
/** Filter results using OData syntax. Use metadata/fieldName for metadata fields. <a href="https://learn.microsoft.com/en-us/azure/search/search-query-odata-filter" target="_blank">Learn more</a>.
*/
filter?: string | Expression<string> | PlaceholderValue;
/** Name of the semantic configuration for semantic ranking (optional)
* @displayOptions.show { queryType: ["semanticHybrid"] }
*/
semanticConfiguration?: string | Expression<string> | PlaceholderValue;
};
};
export interface LcVectorStoreAzureAISearchV13RetrieveSubnodeConfig {
embedding: EmbeddingInstance | EmbeddingInstance[];
/**
* @displayOptions.show { useReranker: [true] }
*/
reranker: RerankerInstance;
}
export type LcVectorStoreAzureAISearchV13RetrieveNode = {
type: '@n8n/n8n-nodes-langchain.vectorStoreAzureAISearch';
version: 1.3;
credentials?: Credentials;
config: NodeConfig<LcVectorStoreAzureAISearchV13RetrieveParams> & { subnodes: LcVectorStoreAzureAISearchV13RetrieveSubnodeConfig };
};