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Gen AI – RAG Application Development using LlamaIndex

Udemy
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Gen AI - RAG Application Development using LlamaIndex
Gen AI RAG Application Development using LlamaIndex

Learn LlamaIndex to Develop RAG Applications using Open AI GPT, Gemini LLM and Vector Databases

Product Brand: Udemy

Editor's Rating:
4.6
Gen AI - RAG Application Development using LlamaIndex
Gen AI RAG Application Development using LlamaIndex

Learn LlamaIndex to Develop RAG Applications using Open AI GPT, Gemini LLM and Vector Databases

Product Brand: Udemy

Editor's Rating:
4.6

Udemy Coupon Code for Gen AI – RAG Application Development using LlamaIndex Course. Learn LlamaIndex to Develop RAG Applications using Open AI GPT, Gemini LLM and Vector Databases

Created by Manas Dasgupta | 7.5 hours on-demand video course

LlamaIndex Course Overview

Gen AI – RAG Application Development using LlamaIndex

This course uses Open AI GPT and Google Gemini APIs, LlamaIndex LLM Framework and Vector Databases like ChromaDB and Pinecone, and is intended to help you learn how to build LLM RAG applications through solid conceptual and hands-on sessions. This course covers all the basic aspects to learn LLM RAG apps and Frameworks like Agents, Tools, QueryPipelines, Retrievers, Query Engines in a crisp and clear manner. It also takes a dive into concepts of Language Embeddings and Vector Databases to help you develop efficient semantic search and semantic similarity based RAG Applications. We will also cover multiple Prompt Engineering techniques that will help make your RAG Applications more efficient.

What you’ll learn

  • Fundamentals of LLM RAG Application Development
  • Using Open AI GPT API to develop RAG Applications
  • Prompt Engineering – Write Optimized Prompts for your RAG Application
  • Using LlamaIndex Query Engines, Retrievers and Query Pipelines
  • Building Conversational Memory
  • Using Data Connectors
  • Building Smart Agents and Tools
  • Language Embeddings and Vector Databases
  • Working with SQL Databases
  • Working with Structured Data and Dataframes in RAGs
  • Convert your LlamaIndex RAG as a FAST API

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Unlock the power of Retrieval-Augmented Generation (RAG) and elevate your data-driven applications to the next level with this Build RAG Applications with LlamaIndex and JavaScript Course on building RAG applications using JavaScript and LlamaIndex. Whether you’re a developer, data scientist, or AI enthusiast, this course will equip you with the skills to design, implement, and optimize advanced query engines that seamlessly integrate Large Language Models (LLMs) into your JavaScript applications.

LlamaIndex- Develop LLM powered applications with LlamaIndex Course

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Created by Eden Marco | 4.5 hours on-demand video course
Learn LlamaIndex by building FAST a real world generative ai LLM powered application LLM (Python)

Welcome to first LlamaIndex Udemy course – Unleashing the Power of LLM! This comprehensive LlamaIndex- Develop LLM powered applications with LlamaIndex course is designed to teach you how to QUICKLY harness the power the LlamaIndex library for LLM applications.
This course will equip you with the skills and knowledge necessary to develop cutting-edge LLM solutions for a diverse range of topics.

Who this course is for

  • Software Developers aspiring to use the power of LLMs to build Gan AI RAG Applications as part of their Project and Products
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Taught by Manas Dasgupta

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