LlamaIndex Embeddings Integration: GigaChat

GigaChat Embedding provides a way to generate embeddings for text and documents using the GigaChat API within the llama_index library.

To learn more about GigaChat and embedding principles, visit https://developers.sber.ru/docs/ru/gigachat/api/embeddings?tool=api

Installation

pip install gigachat
pip install llama-index-embeddings-gigachat

Usage

from llama_index.embeddings.gigachat import GigaChatEmbedding

Initialization Parameters:

• auth_data: GigaChat authentication data.
• scope: The scope of your GigaChat API access. Use "GIGACHAT_API_PERS" for personal use or "GIGACHAT_API_CORP" for corporate use.

embeddings = GigaChatEmbedding(
    auth_data="YOUR_AUTH_DATA",
    scope="GIGACHAT_API_CORP",
)

Example

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