LLMRails 嵌入¶

如果您在 Colab 上打开此 Notebook，您可能需要安装 LlamaIndex 🦙。

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%pip install llama-index-embeddings-llm-rails

%pip install llama-index-embeddings-llm-rails

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!pip install llama-index

!pip install llama-index

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# imports

from llama_index.embeddings.llm_rails import LLMRailsEmbedding

# 从 llama_index.embeddings.llm_rails 导入 LLMRailsEmbedding # 获取凭据并创建嵌入 import os api_key = os.environ.get("API_KEY", "your-api-key") model_id = os.environ.get("MODEL_ID", "your-model-id") embed_model = LLMRailsEmbedding(model_id=model_id, api_key=api_key) embeddings = embed_model.get_text_embedding( "It is raining cats and dogs here!" )

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# get credentials and create embeddings

import os

api_key = os.environ.get("API_KEY", "your-api-key")
model_id = os.environ.get("MODEL_ID", "your-model-id")


embed_model = LLMRailsEmbedding(model_id=model_id, api_key=api_key)

embeddings = embed_model.get_text_embedding(
    "It is raining cats and dogs here!"
)

# 获取凭据并创建嵌入 import os api_key = os.environ.get("API_KEY", "your-api-key") model_id = os.environ.get("MODEL_ID", "your-model-id") embed_model = LLMRailsEmbedding(model_id=model_id, api_key=api_key) embeddings = embed_model.get_text_embedding( "It is raining cats and dogs here!" )