Typesense vector store.

Hierarchy

Constructors

Properties

FilterType: Partial<MultiSearchRequestSchema>
embeddings: Embeddings
lc_kwargs: SerializedFields
lc_namespace: string[] = ...

A path to the module that contains the class, eg. ["langchain", "llms"] Usually should be the same as the entrypoint the class is exported from.

lc_serializable: boolean = false

Accessors

  • get lc_aliases(): undefined | {
        [key: string]: string;
    }
  • A map of aliases for constructor args. Keys are the attribute names, e.g. "foo". Values are the alias that will replace the key in serialization. This is used to eg. make argument names match Python.

    Returns undefined | {
        [key: string]: string;
    }

  • get lc_attributes(): undefined | SerializedFields
  • A map of additional attributes to merge with constructor args. Keys are the attribute names, e.g. "foo". Values are the attribute values, which will be serialized. These attributes need to be accepted by the constructor as arguments.

    Returns undefined | SerializedFields

  • get lc_secrets(): undefined | {
        [key: string]: string;
    }
  • A map of secrets, which will be omitted from serialization. Keys are paths to the secret in constructor args, e.g. "foo.bar.baz". Values are the secret ids, which will be used when deserializing.

    Returns undefined | {
        [key: string]: string;
    }

Methods

  • Transform documents to Typesense records.

    Parameters

    • documents: Document<Record<string, any>>[]
    • vectors: number[][]

    Returns Record<string, unknown>[]

    Typesense records.

  • Transform the Typesense records to documents.

    Parameters

    • typesenseRecords: undefined | {
          vector_distance: number;
          document?: Record<string, unknown>;
      }[]

    Returns [Document<Record<string, any>>, number][]

    documents

  • Add documents to the vector store. Will be updated if in the metadata there is a document with the same id if is using the default import function. Metadata will be added in the columns of the schema based on metadataColumnNames.

    Parameters

    • documents: Document<Record<string, any>>[]

      Documents to add.

    Returns Promise<void>

  • Delete documents from the vector store.

    Parameters

    • documentIds: string[]

      ids of the documents to delete

    Returns Promise<void>

  • Search for similar documents with their similarity score.

    Parameters

    • vectorPrompt: number[]

      vector to search for

    • Optional k: number

      amount of results to return

    • filter: Partial<MultiSearchRequestSchema> = {}

    Returns Promise<[Document<Record<string, any>>, number][]>

    similar documents with their similarity score

  • The name of the serializable. Override to provide an alias or to preserve the serialized module name in minified environments.

    Implemented as a static method to support loading logic.

    Returns string

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