🎬 YouTube AI Summarization & Analysis

YouTube is the world's second-largest search engine, with over 500 hours of video uploaded every minute. The knowledge locked inside these videos is enormous — but watching hours of content to extract key insights is impractical. What if AI could do it for you?

What We're Building

In this module, you'll build an AI-powered YouTube processing pipeline that can summarize entire playlists, analyze content, and even answer questions about the videos — all without watching a single second.

1. Fetch YouTube transcripts automatically via API
2. Split long transcripts into processable chunks
3. Summarize each chunk with Gemini AI
4. Combine summaries into a final comprehensive analysis
5. Store content in a vector database (Qdrant) for RAG
6. Enable a Q&A chatbot over the video content

[Chat Trigger: "Summarize playlist X"]
         │
         ▼
[Handle Queries Agent] ◄── [Gemini Chat Model]
         │
         │  (Tool call: process video)
         ▼
[YouTube API: Get transcript]
         │
         ▼
[Text Splitter: Recursive Character (1000 tokens)]
         │
         ▼
[Summarize & Analyze each chunk] ◄── [Gemini]
         │
         ▼
[Aggregate: Concatenate all summaries]
         │
         ▼
[Final Summary + Analysis] ◄── [Gemini]
         │
         ├──► [Qdrant Vector Store: index chunks]
         │
         ▼
[Return to user via chat]