YouTube RAG Search with Frontend using Apify Qdrant and AI

Say goodbye to endless YouTube searching!

This automation builds a smart YouTube RAG (Retrieval-Augmented Generation) search engine with a user-friendly frontend — combining Apify for scraping, Qdrant for vector storage, and AI for answering user queries with context-rich responses.

Perfect for researchers, educators, and developers who want to turn video libraries into searchable, interactive knowledge hubs.

What it does:

🔍 Scrapes YouTube video data using Apify
🧠 Stores and indexes transcripts in Qdrant for semantic search
💬 Uses AI to answer user queries based on retrieved content
🖥️ Provides a simple, interactive frontend for real-time search
📁 Supports multi-video datasets with contextual accuracy
✅ Setup guide & importable automation included

Need help setting it up? We offer full configuration and testing for a one-time fee.