MistralAI嵌入¶
这是一个示例的Markdown文件,用于演示如何翻译Python文件中的Markdown内容。
如果您在colab上打开这个笔记本,您可能需要安装LlamaIndex 🦙。
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%pip install llama-index-embeddings-mistralai
%pip install llama-index-embeddings-mistralai
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!pip install llama-index
!pip install llama-index
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# 导入来自llama_index.embeddings.mistralai的MistralAIEmbedding
# 导入来自llama_index.embeddings.mistralai的MistralAIEmbedding
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# 获取API密钥并创建嵌入api_key = "YOUR API KEY" # 你的API密钥model_name = "mistral-embed"embed_model = MistralAIEmbedding(model_name=model_name, api_key=api_key)embeddings = embed_model.get_text_embedding("La Plateforme - The Platform") # 获取文本嵌入
# 获取API密钥并创建嵌入api_key = "YOUR API KEY" # 你的API密钥model_name = "mistral-embed"embed_model = MistralAIEmbedding(model_name=model_name, api_key=api_key)embeddings = embed_model.get_text_embedding("La Plateforme - The Platform") # 获取文本嵌入
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print(f"Dimension of embeddings: {len(embeddings)}")
print(f"Dimension of embeddings: {len(embeddings)}")
Dimension of embeddings: 1024
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embeddings[:5]
embeddings[:5]
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[-0.0299224853515625, -0.0028362274169921875, 0.0282745361328125, -0.034759521484375, -0.0017366409301757812]