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.
1 maintainer
Metadata
1 maintainer
Release files for llama-index-embeddings-gigachat 0.6.0
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