设置¶
通过 pip 安装库
In [ ]
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%pip install llama-index-embeddings-cloudflare-workersai # %pip install -e ~/llama_index/llama-index-integrations/embeddings/llama-index-embeddings-cloudflare-workersai
%pip install llama-index-embeddings-cloudflare-workersai
# %pip install -e ~/llama_index/llama-index-integrations/embeddings/llama-index-embeddings-cloudflare-workersai
要访问 Cloudflare Workers AI,需要 Cloudflare 账户 ID 和 API 令牌。要获取您的账户 ID 和 API 令牌,请按照此文档中的说明操作。
# Initilise with account ID and API token # import os # my_account_id = "example_id" # my_api_token = "example_token" # os.environ["CLOUDFLARE_AUTH_TOKEN"] = "my_api_token" import getpass my_account_id = getpass.getpass("Enter your Cloudflare account ID:\n\n") my_api_token = getpass.getpass("Enter your Cloudflare API token:\n\n")
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%pip install llama-index-embeddings-cloudflare-workersai # %pip install -e ~/llama_index/llama-index-integrations/embeddings/llama-index-embeddings-cloudflare-workersai
# Initilise with account ID and API token
# import os
# my_account_id = "example_id"
# my_api_token = "example_token"
# os.environ["CLOUDFLARE_AUTH_TOKEN"] = "my_api_token"
import getpass
my_account_id = getpass.getpass("Enter your Cloudflare account ID:\n\n")
my_api_token = getpass.getpass("Enter your Cloudflare API token:\n\n")
文本向量嵌入示例¶
from llama_index.embeddings.cloudflare_workersai import CloudflareEmbedding my_embed = CloudflareEmbedding( account_id=my_account_id, auth_token=my_api_token, model="@cf/baai/bge-small-en-v1.5", ) embeddings = my_embed.get_text_embedding("Why sky is blue") print(len(embeddings)) print(embeddings[:5])
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%pip install llama-index-embeddings-cloudflare-workersai # %pip install -e ~/llama_index/llama-index-integrations/embeddings/llama-index-embeddings-cloudflare-workersai
from llama_index.embeddings.cloudflare_workersai import CloudflareEmbedding
my_embed = CloudflareEmbedding(
account_id=my_account_id,
auth_token=my_api_token,
model="@cf/baai/bge-small-en-v1.5",
)
embeddings = my_embed.get_text_embedding("Why sky is blue")
print(len(embeddings))
print(embeddings[:5])
分批嵌入¶
384 [-0.04786296561360359, -0.030788540840148926, -0.07126234471797943, -0.04107927531003952, 0.02904760278761387]
关于批处理大小,截至 2024-03-31,Cloudflare 的限制最大为 100。
embeddings = my_embed.get_text_embedding_batch( ["Why sky is blue", "Why roses are red"] ) print(len(embeddings)) print(len(embeddings[0])) print(embeddings[0][:5]) print(embeddings[1][:5])
已复制!
%pip install llama-index-embeddings-cloudflare-workersai # %pip install -e ~/llama_index/llama-index-integrations/embeddings/llama-index-embeddings-cloudflare-workersai
embeddings = my_embed.get_text_embedding_batch(
["Why sky is blue", "Why roses are red"]
)
print(len(embeddings))
print(len(embeddings[0]))
print(embeddings[0][:5])
print(embeddings[1][:5])
返回顶部
2 384 [-0.04786296561360359, -0.030788540840148926, -0.07126234471797943, -0.04107927531003952, 0.02904760278761387] [-0.08951402455568314, -0.015274363569915295, 0.04728245735168457, 0.05478525161743164, 0.05978189781308174]