OpenAI's New GPT 3.5 Embedding Model for Semantic Search

Semantic search with OpenAI GPT architecture
Getting started with OpenAI embeddings in Python
Initializing connection to OpenAI API
Creating OpenAI embeddings with ada
Initializing the Pinecone vector index
Getting dataset from Hugging Face to embed and index
Populating vector index with embeddings
Semantic search querying
Deleting the environment
Final notes