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End-to-End Multi AI Agents RAG with LangGraph, AstraDB, and Llama 3.1

Offered By: Krish Naik via YouTube

Tags

Retrieval Augmented Generation (RAG) Courses Apache Cassandra Courses Vector Databases Courses Embeddings Courses Multi-Agent Systems Courses LangGraph Courses Llama 3.1 Courses

Course Description

Overview

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Explore the creation of a multi-AI agent system with Retrieval-Augmented Generation (RAG) using LangGraph and AstraDB, integrated with the open-source Llama 3.1 model via Groq API. Learn how to leverage AstraDB, a vector database built on Apache Cassandra, for optimized storage and access of vector embeddings. Discover the power of this NoSQL database that underpins major applications like Instagram and Netflix. Dive into the practical implementation using the provided Google Colab notebook, gaining hands-on experience in building advanced AI systems that combine multiple agents, RAG techniques, and cutting-edge database technologies.

Syllabus

End to End Multi AI Agents RAG With LangGraph AstraDB And Llama 3.1


Taught by

Krish Naik

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