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What is a Vector Database? - Building a RAG application with Datastax Astra DB and Langflow using AI
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Oct 242024
Try DataStax Astra DB: https://dtsx.io/francesco Try Langflow: https://dtsx.io/francesco-lf Langflow on GitHub (leave a star): https://dtsx.io/4gXv7I2 In this video, I show you how to solve the challenge of finding relevant YouTube videos without relying just on keywords, instead using AI via vector databases like DataStax Astra DB. I demonstrate how semantic search can make video discovery smarter using popular AI techniques like RAG (Retrieval Augmented Generation). Together, we’ll set up an API with DataStax Langflow and build a frontend with Next.js and Tailwind CSS to visualize search results. Don’t forget to check out the link to fetch your CSV of videos using the YouTube API! 0:00 Introduction: the problem and how Datastax can help us solve it 0:35 How to get the data: import the csv file using a YouTube fetcher 1:02 Create a Vector Database with Datastax AstraDB 4:29 Get the OpenAI API Key 5:45 Setting up an API using Langflow and Rag (Retrieval Augmented generation) 8:00 Step by Step process to use Langflow - Test API 10:00 Create a Frontend using Next.js and Tailwind CSS 15:36 Final test of the Langflow API - Conclusion YouTube Fetcher with Rust:    • Build YouTube API Data Fetching Using Rust...   ALL THE LINKS HERE: https://francescociulla.com ‪@DataStax‬ ‪@Langflow‬ ‪@DataStaxDevs‬

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Francesco Ciulla

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