The need to building Retrieval Augmented Generation (RAG) pipelines is only increasing with the amount of available personal data remaining untapped and leveraged to train LLMs.
Though sophisticated frameworks exist for coding RAG pipelines, they do take time and demand technical skills to build. When I was looking for a solution, I came across Vectorize which is a WYSIWYG style pick and place UI platform for building cool RAG pipelines.
So in this video, lets look at the vectorized platform and build a RAG pipeline using it to solve a real-world problem I faced.
KEY LINKS
Try Vectorize - https://join.vectorize.io/udt1tewlnt1m
RAG from Scratch videos - https://youtube.com/playlist?list=PLcp6ZnH4WYlaYWCuDZ8oJNZaOFzmB8ciK&si=RdTYJ1jQ68ziQvb8
⌚️ ⌚️ ⌚️ TIMESTAMPS ⌚️ ⌚️ ⌚️
0:00 - Intro
0:39 - Vectorize
1:52 - Creating a RAG pipeline
2:45 - Real-world problem
3:11 - Pipeline for the problem
8:45 - Integrating Vectorize
AI BITES KEY LINKS
Website: https://www.ai-bites.net
YouTube: https://www.youtube.com/@AIBites
Twitter: https://twitter.com/ai_bites
Patreon: https://www.patreon.com/ai_bites
Github: https://github.com/ai-bites