Class OllamaEmbeddings

Deprecated

OllamaEmbeddings have been moved to the @langchain/ollama package. Install it with npm install @langchain/ollama.

Hierarchy

  • Embeddings
    • OllamaEmbeddings

Constructors

constructor

Properties

baseUrl caller headers? keepAlive model requestOptions?

Methods

embedDocuments embedQuery

Constructors

constructor

Properties

baseUrl

baseUrl: string = "http://localhost:11434"

caller

caller: AsyncCaller

The async caller should be used by subclasses to make any async calls, which will thus benefit from the concurrency and retry logic.

Optionalheaders

headers?: Record<string, string>

keepAlive

keepAlive: string = "5m"

model

model: string = "llama2"

OptionalrequestOptions

requestOptions?: {
    embedding_only?: boolean;
    f16_kv?: boolean;
    frequency_penalty?: number;
    logits_all?: boolean;
    low_vram?: boolean;
    main_gpu?: number;
    mirostat?: number;
    mirostat_eta?: number;
    mirostat_tau?: number;
    num_batch?: number;
    num_ctx?: number;
    num_gpu?: number;
    num_gqa?: number;
    num_keep?: number;
    num_predict?: number;
    num_thread?: number;
    penalize_newline?: boolean;
    presence_penalty?: number;
    repeat_last_n?: number;
    repeat_penalty?: number;
    rope_frequency_base?: number;
    rope_frequency_scale?: number;
    stop?: string[];
    temperature?: number;
    tfs_z?: number;
    top_k?: number;
    top_p?: number;
    typical_p?: number;
    use_mlock?: boolean;
    use_mmap?: boolean;
    vocab_only?: boolean;
}

Methods

embedDocuments

  • embedDocuments(documents): Promise<number[][]>

  • An abstract method that takes an array of documents as input and returns a promise that resolves to an array of vectors for each document.

    Parameters

    • documents: string[]

      An array of documents to be embedded.

    Returns Promise<number[][]>

    A promise that resolves to an array of vectors for each document.

embedQuery

  • embedQuery(document): Promise<number[]>

  • An abstract method that takes a single document as input and returns a promise that resolves to a vector for the query document.

    Parameters

    • document: string

      A single document to be embedded.

    Returns Promise<number[]>

    A promise that resolves to a vector for the query document.

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