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OpenAI 嵌入

如果您在 Colab 上打开这个笔记本，您可能需要安装 LlamaIndex 🦙。

%pip install llama-index-embeddings-openai

!pip install llama-index

import os

os.environ["OPENAI_API_KEY"] = "sk-..."

from llama_index.embeddings.openai import OpenAIEmbedding
from llama_index.core import Settings

embed_model = OpenAIEmbedding(embed_batch_size=10)
Settings.embed_model = embed_model

使用 OpenAI `text-embedding-3-large` 和 `text-embedding-3-small`

注意，您可能需要更新您的 openai 客户端：pip install -U openaipip install -U openai

# get API key and create embeddings
from llama_index.embeddings.openai import OpenAIEmbedding

embed_model = OpenAIEmbedding(model="text-embedding-3-large")

embeddings = embed_model.get_text_embedding(
    "Open AI new Embeddings models is great."
)

print(embeddings[:5])

[-0.011500772088766098, 0.02457442320883274, -0.01760469563305378, -0.017763426527380943, 0.029841400682926178]

print(len(embeddings))

# get API key and create embeddings
from llama_index.embeddings.openai import OpenAIEmbedding

embed_model = OpenAIEmbedding(
    model="text-embedding-3-small",
)

embeddings = embed_model.get_text_embedding(
    "Open AI new Embeddings models is awesome."
)

print(len(embeddings))

更改输出嵌入的维度

注意：请确保您使用的是最新版本的OpenAI客户端

# get API key and create embeddings
from llama_index.embeddings.openai import OpenAIEmbedding


embed_model = OpenAIEmbedding(
    model="text-embedding-3-large",
    dimensions=512,
)

embeddings = embed_model.get_text_embedding(
    "Open AI new Embeddings models with different dimensions is awesome."
)
print(len(embeddings))