@n8n/n8n-nodes-langchain
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text/typescript
/**
* Qdrant Vector Store Node - Version 1.3
* Discriminator: mode=load
*/
interface Credentials {
qdrantApi: CredentialReference;
}
/** Get many ranked documents from vector store for query */
export type LcVectorStoreQdrantV13LoadParams = {
mode: 'load';
qdrantCollection?: { __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?: {
/** Filter pageContent or metadata using this <a href="https://qdrant.tech/documentation/concepts/filtering/" target="_blank">filtering syntax</a>
*/
searchFilterJson?: IDataObject | string | Expression<string>;
/** The key to use for the content payload in Qdrant. Default is "content".
* @default content
*/
contentPayloadKey?: string | Expression<string> | PlaceholderValue;
/** The key to use for the metadata payload in Qdrant. Default is "metadata".
* @default metadata
*/
metadataPayloadKey?: string | Expression<string> | PlaceholderValue;
};
};
export interface LcVectorStoreQdrantV13LoadSubnodeConfig {
embedding: EmbeddingInstance | EmbeddingInstance[];
/**
* @displayOptions.show { useReranker: [true] }
*/
reranker: RerankerInstance;
}
export type LcVectorStoreQdrantV13LoadNode = {
type: '@n8n/n8n-nodes-langchain.vectorStoreQdrant';
version: 1.3;
credentials?: Credentials;
config: NodeConfig<LcVectorStoreQdrantV13LoadParams> & { subnodes: LcVectorStoreQdrantV13LoadSubnodeConfig };
};