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A Quick CheatSheet on Pinecone Vector Database
A Socratic approach to understanding Pinecone Vector Database with implementation in Python
8 min readNov 13, 2024
What is a vector?
A general mathematical concept representing a direction and magnitude in space.
What is a vector embedding?
A vector embedding is a numerical representation of high-dimensional data that captures its meaning or characteristics, enabling similarity-based search. It is generated by machine learning models trained on large datasets.
For example, a sentence can be converted into a text embedding using a language model, allowing it to be compared to other sentences based on semantic similarity.
from sentence_transformers import SentenceTransformer
data_text="Gen AI models are capable of generating realistic and engaging content."
model= SentenceTransformer('all-MiniLM-L6-v2')
text_embedding = model.encode(data_text)
print(f'text embedding shape: {text_embedding.shape}\n')
print(f'text embedding of text{data_text} is \n {text_embedding}')