langchain/docs/extras/integrations/text_embedding/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

In [1]:

from langchain.embeddings import AlephAlphaAsymmetricSemanticEmbedding

In [2]:

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

In [3]:

embeddings = AlephAlphaAsymmetricSemanticEmbedding(normalize=True, compress_to_size=128)

In [4]:

doc_result = embeddings.embed_documents([document])

In [5]:

query_result = embeddings.embed_query(query)

Symmetric

In [6]:

from langchain.embeddings import AlephAlphaSymmetricSemanticEmbedding

In [7]:

text = "This is a test text"

In [8]:

embeddings = AlephAlphaSymmetricSemanticEmbedding(normalize=True, compress_to_size=128)

In [9]:

doc_result = embeddings.embed_documents([text])

In [10]:

query_result = embeddings.embed_query(text)

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