Let's load the LLMRails Embeddings class.
To use LLMRails embedding you need to pass api key by argument or set it in environment with LLM_RAILS_API_KEY key. To gey API Key you need to sign up in https://console.llmrails.com/signup and then go to https://console.llmrails.com/api-keys and copy key from there after creating one key in platform.
from langchain_community.embeddings import LLMRailsEmbeddings
embeddings = LLMRailsEmbeddings(model="embedding-english-v1")
text = "This is a test document."
To generate embeddings, you can either query an invidivual text, or you can query a list of texts.
query_result = embeddings.embed_query(text)
query_result[:5]
[-0.09996652603149414,
0.015568195842206478,
0.17670190334320068,
0.16521021723747253,
0.21193109452724457]
doc_result = embeddings.embed_documents([text])
doc_result[0][:5]
[-0.04242777079343796,
0.016536075621843338,
0.10052520781755447,
0.18272875249385834,
0.2079043835401535]
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