interface VectorStoreQdrantNodeParameters {
embeddingBatchSize?: number;
id?: string;
includeDocumentMetadata?: boolean;
mode?:
| "load"
| "insert"
| "retrieve"
| "retrieve-as-tool";
options?: | {
collectionConfig?: string;
contentPayloadKey?: string;
metadataPayloadKey?: string;
}
| {
contentPayloadKey?: string;
metadataPayloadKey?: string;
searchFilterJson?: string;
};
prompt?: string;
qdrantCollection?: {
mode: "id"
| "list";
value: string;
};
toolDescription?: string;
toolName?: string;
topK?: number;
useReranker?: boolean;
}Properties§
Source§readonly include Document Metadata?: boolean
readonly include Document Metadata?: boolean
Whether or not to include document metadata Default: true
Source§readonly options?:
| {
collectionConfig?: string;
contentPayloadKey?: string;
metadataPayloadKey?: string;
}
| {
contentPayloadKey?: string;
metadataPayloadKey?: string;
searchFilterJson?: string;
}
readonly options?:
| {
collectionConfig?: string;
contentPayloadKey?: string;
metadataPayloadKey?: string;
}
| {
contentPayloadKey?: string;
metadataPayloadKey?: string;
searchFilterJson?: string;
}
Default: {}
Source§readonly prompt?: string
readonly prompt?: string
Search prompt to retrieve matching documents from the vector store using similarity-based ranking
Source§readonly qdrant Collection?: { mode: "id" | "list"; value: string }
readonly qdrant Collection?: { mode: "id" | "list"; value: string }
Default: {"mode":"list","value":""}
Number of documents to embed in a single batch Default: 200