LlamaIndex Embeddings Integration: YandexGPT

YandexGPT Embeddings provides text embedding service using the Yandex Cloud API. It supports both synchronous and asynchronous methods for embedding texts and documents(queries), making it flexible and suitable for various applications in natural language processing (NLP) and machine learning.

To learn more about Yandex Cloud API and embedding principles, visit https://yandex.cloud/en/docs/foundation-models/concepts/embeddings

Installation

bash

pip install llama-index-embeddings-yandexgpt

Usage

python

from llama_index.embeddings.yandexgpt import YandexGPTEmbedding

Initialization Parameters:

api_key: The API key for Yandex Cloud. This key is required for authenticating requests.
folder_id: The folder ID for Yandex Cloud.

python

embeddings = YandexGPTEmbedding(
    api_key="your-api-key",
    folder_id="your-folder-id",
)

Example

See the example notebook for a detailed walkthrough of using YandexGPT embeddings with LlamaIndex.