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
pip install llama-index-embeddings-yandexgpt
Usage
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.
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.
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