Blowing $100 on OpenAI in a few hours with context injection

Show HN: Blowing $100 on OpenAI in a few hours with context injection

Blowing $100 on OpenAI in a few hours with context injection operates in show hn launch.

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Yesterday I released an AI-enabled chatbot called GPTflix that serves up opinions and reviews of movies based on user input questions in chat format. It's made with GPT-3 and Pinecone using 450,000 movie reviews stored in a vector database. The chatbot was built in less than 48 hours and was deployed on Streamlit.Basically the way it works is this: 1. User inputs a query 2. Query is converted to OpenAI vector embedding 3. Query vector embedding is compared to all 450K entries in the Pinecone DB 4. Top 100 closest entries in Pinecone are sent back via the API as "closest to the query" 5. Text associated with these 100 vectors is parsed and pre-pended to the user query from (1) (this can be do

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Website: www.gptflix.ai