DeepInfra

DeepInfra 是一个无服务器推理服务，提供对各种LLM模型和嵌入模型的访问。本笔记本介绍如何在DeepInfra中使用LangChain进行文本嵌入。

# 注册账号：https://deepinfra.com/login?utm_source=langchain

from getpass import getpass

DEEPINFRA_API_TOKEN = getpass()

     ········

import os

os.environ["DEEPINFRA_API_TOKEN"] = DEEPINFRA_API_TOKEN

from langchain.embeddings import DeepInfraEmbeddings

embeddings = DeepInfraEmbeddings(
    model_id="sentence-transformers/clip-ViT-B-32",
    query_instruction="",
    embed_instruction="",
)

docs = ["Dog is not a cat", "Beta is the second letter of Greek alphabet"]
document_result = embeddings.embed_documents(docs)

query = "What is the first letter of Greek alphabet"
query_result = embeddings.embed_query(query)

import numpy as np

query_numpy = np.array(query_result)
for doc_res, doc in zip(document_result, docs):
    document_numpy = np.array(doc_res)
    similarity = np.dot(query_numpy, document_numpy) / (
        np.linalg.norm(query_numpy) * np.linalg.norm(document_numpy)
    )
    print(f'"{doc}"与查询的余弦相似度：{similarity}')

    "Dog is not a cat"与查询的余弦相似度：0.7489097144129355
    "Beta is the second letter of Greek alphabet"与查询的余弦相似度：0.9519380640702013