Build a RAG Agent: Retrieve Video Topics by URL & Timestamps

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tutorial on building a dual-workflow Retrieval-Augmented Generation (RAG) agent that retrieves video topics by URL and timestamps!

In this video, you’ll learn how to:

  1. Scrape Video Transcripts: Extract and process transcripts from your YouTube videos.
  2. Upsert into Pinecone DB: Clean and store transcript data into a Pinecone database for efficient vector search.
  3. Build a RAG Retrieval Agent: Develop an AI agent capable of retrieving specific video topics using provided URLs and timestamps.

By integrating these workflows, you’ll create a powerful system that enables precise topic retrieval from video content based on URL and timestamp data. This tutorial is ideal for developers looking to add advanced video content search capabilities to their projects.

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Dm me if interested

#RAGAgent #PineconeDB #YouTubeTranscripts #VideoTopics #URLRetrieval #Timestamps #AITutorial #MachineLearning

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Hi Adel,

Your video is no longer available. Can you post the video link here?

Thanks

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