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The project is a Retrieval-Augmented Generation (RAG) application that leverages OpenAI’s Whisper to transcribe YouTube videos and answer queries about the content. The tech stack includes Langchain, OpenAI, HuggingFace, Pinecone, and Google GenAI to ensure efficient transcription, question-answering, and data management.

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SaibalPatraDS/AI-Powered-Video-Content-Explorer-and-Query-Resolver

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AI-Powered-Video-Content-Explorer-and-Query-Resolver

The project is a Retrieval-Augmented Generation (RAG) application that leverages OpenAI’s Whisper to transcribe YouTube videos and answer queries about the content. The tech stack includes Langchain, OpenAI, HuggingFace, Pinecone, and Google GenAI to ensure efficient transcription, question-answering, and data management.

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The project is a Retrieval-Augmented Generation (RAG) application that leverages OpenAI’s Whisper to transcribe YouTube videos and answer queries about the content. The tech stack includes Langchain, OpenAI, HuggingFace, Pinecone, and Google GenAI to ensure efficient transcription, question-answering, and data management.

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