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# OpenAI Embeddings Example
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A Hybrid Search and Augmented Generation prompting solution using Python [OpenAI](https://openai.com/) API embeddings sourced from [Pinecone](https://docs.pinecone.io/docs/python-client) vector database indexes and managed by [LangChain](https://www.langchain.com/).
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A Hybrid Search and Augmented Generation prompting solution using Python [OpenAI](https://openai.com/) API embeddings sourced from [Pinecone](https://docs.pinecone.io/docs/python-client) vector database indexes and managed by [LangChain](https://www.langchain.com/). Implements the following:
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Implements the following:
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- a command-line pdf loader program that extracts text, vectorizes, and
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-**PDF Loader**. a command-line pdf loader program that extracts text, vectorizes, and
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loads into a Pinecone dot product vector database that is dimensioned to match OpenAI embeddings.
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- a hybrid search retriever that locates relevant documents from the vector database and includes these in OpenAI prompts.
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-**Retrieval Augments Generation**. A chatGPT prompt based on a hybrid search retriever that locates relevant documents from the vector database and includes these in OpenAI prompts.
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