Vector Embedding Recommendations
# Python Vector Similarity Search with Pinecone & OpenAI Embeddings
import openai
import pinecone
pinecone.init(api_key="PINECONE_API_KEY", environment="us-west1-gcp")
index = pinecone.Index("ecommerce-products")
def get_recommendations(product_description):
embedding = openai.Embedding.create(
input=product_description,
model="text-embedding-ada-002"
)['data'][0]['embedding']
results = index.query(vector=embedding, top_k=5, include_metadata=True)
return results['matches']Suggested & Related Reading
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