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Semantic search with OpenAI GPT architecture
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Classroom Contents
OpenAI's New GPT 3.5 Embedding Model for Semantic Search
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- 1 Semantic search with OpenAI GPT architecture
- 2 Getting started with OpenAI embeddings in Python
- 3 Initializing connection to OpenAI API
- 4 Creating OpenAI embeddings with ada
- 5 Initializing the Pinecone vector index
- 6 Getting dataset from Hugging Face to embed and index
- 7 Populating vector index with embeddings
- 8 Semantic search querying
- 9 Deleting the environment
- 10 Final notes
