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@n8n/n8n-nodes-langchain

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/** * Pinecone Vector Store Node - Version 1.3 * Discriminator: mode=load */ interface Credentials { pineconeApi: CredentialReference; } /** Get many ranked documents from vector store for query */ export type LcVectorStorePineconeV13LoadParams = { mode: 'load'; pineconeIndex?: { __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?: { /** Partition the records in an index into namespaces. Queries and other operations are then limited to one namespace, so different requests can search different subsets of your index. */ pineconeNamespace?: string | Expression<string> | PlaceholderValue; /** Metadata to filter the document by * @default {} */ metadata?: { /** Fields to Set */ metadataValues?: Array<{ /** Name */ name?: string | Expression<string> | PlaceholderValue; /** Value */ value?: string | Expression<string> | PlaceholderValue; }>; }; }; }; export interface LcVectorStorePineconeV13LoadSubnodeConfig { embedding: EmbeddingInstance | EmbeddingInstance[]; /** * @displayOptions.show { useReranker: [true] } */ reranker: RerankerInstance; } export type LcVectorStorePineconeV13LoadNode = { type: '@n8n/n8n-nodes-langchain.vectorStorePinecone'; version: 1.3; credentials?: Credentials; config: NodeConfig<LcVectorStorePineconeV13LoadParams> & { subnodes: LcVectorStorePineconeV13LoadSubnodeConfig }; };