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使用 Aleph Alpha 的语义嵌入有两种可能的方式。如果您的文本结构不同(例如文档和查询),您会希望使用非对称嵌入。反之,对于结构相似的文本,建议使用对称嵌入。

非对称

from langchain_community.embeddings import AlephAlphaAsymmetricSemanticEmbedding
document = "This is a content of the document"
query = "What is the content of the document?"
embeddings = AlephAlphaAsymmetricSemanticEmbedding(normalize=True, compress_to_size=128)
doc_result = embeddings.embed_documents([document])
query_result = embeddings.embed_query(query)

对称

from langchain_community.embeddings import AlephAlphaSymmetricSemanticEmbedding
text = "This is a test text"
embeddings = AlephAlphaSymmetricSemanticEmbedding(normalize=True, compress_to_size=128)
doc_result = embeddings.embed_documents([text])
query_result = embeddings.embed_query(text)

以编程方式连接这些文档到 Claude、VSCode 等,通过 MCP 获取实时答案。
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