TejasQ/danGPT
An AI of Dan Abramov using RAG and GenAI.
Embeds scraped social media content into vector space using OpenAI's text-embedding-3-small model, then stores vectors in AstraDB for semantic similarity search. At query time, retrieves contextually relevant posts and feeds them to gpt-3.5-turbo to generate responses mimicking the original author's voice. Demonstrates end-to-end RAG implementation with vector databases and LLM-based generation for personalized AI assistants.
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94
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Language
TypeScript
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Last pushed
Apr 14, 2024
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