RAG Applied: Search Youtube videos with Redis vector database

CZcams searches don’t always yield reliable results. Using Redis, Retrieval Augmented Generation (RAG), and semantic caching, you can efficiently search CZcams to find videos that answer your questions.
Watch this video to learn how to:
- Turn CZcams videos into searchable vectors
- Use Redis to store and search video vectors
- Answer questions using OpenAI or Gemini, and augment your questions with RAG
--- Contents of this video ---
00:00 - Introduction
00:16 - High-level CZcams video summarizing
00:34 - Process diagram
01:12 - Coding the video summarization
02:58 - What vectors look like in a database
03:18 - How to answer questions using RAG
04:44 - Seeing the results
04:57 - Conclusion
Dive deeper into searching CZcams with Redis:
redis.io/learn/howtos/solutio...
Get the code used in this video:
github.com/redis-developer/vi...
#redis #ai #vector