langchain/docs/modules/models/text_embedding/examples/aleph_alpha.ipynb

Aleph Alpha

There are two possible ways to use Aleph Alpha's semantic embeddings. If you have texts with a dissimilar structure (e.g. a Document and a Query) you would want to use asymmetric embeddings. Conversely, for texts with comparable structures, symmetric embeddings are the suggested approach.

Asymmetric

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from langchain.embeddings import AlephAlphaAsymmetricSemanticEmbedding

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document = "This is a content of the document"
query = "What is the contnt of the document?"

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embeddings = AlephAlphaAsymmetricSemanticEmbedding()

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doc_result = embeddings.embed_documents([document])

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query_result = embeddings.embed_query(query)

Symmetric

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from langchain.embeddings import AlephAlphaSymmetricSemanticEmbedding

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text = "This is a test text"

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embeddings = AlephAlphaSymmetricSemanticEmbedding()

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doc_result = embeddings.embed_documents([text])

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query_result = embeddings.embed_query(text)

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