HOT

Gen AI – RAG Application Development using LlamaIndex

IT & Software

Gen AI – RAG Application Development using LlamaIndex, available at $19.99, has an average rating of 4.68, with 21 lectures, based on 37 reviews, and has 492 subscribers.

Rating4.7
Enroll Now

You will learn about 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 This course is ideal for individuals who are Software Developers aspiring to use the power of LLMs to build Gan AI RAG Applications as part of their Project and Products or Software Developers looking to automate their Software Engineering processes using Gen AI It is particularly useful for Software Developers aspiring to use the power of LLMs to build Gan AI RAG Applications as part of their Project and Products or Software Developers looking to automate their Software Engineering processes using Gen AI.

Enroll now: Gen AI – RAG Application Development using LlamaIndex

Summary

Title: Gen AI – RAG Application Development using LlamaIndex

Price: $19.99

Average Rating: 4.68

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: ₹799

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • Software Developers aspiring to use the power of LLMs to build Gan AI RAG Applications as part of their Project and Products
  • Software Developers looking to automate their Software Engineering processes using Gen AI

Target Audiences

  • Software Developers aspiring to use the power of LLMs to build Gan AI RAG Applications as part of their Project and Products
  • Software Developers looking to automate their Software Engineering processes using Gen AI

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.

List of Projects/Hands-on included:

Basic RAG: Chat with multiple PDF documents using VectorStore, Retriever, Nodepostprocessor, ResponseSynthesizer and Query Engine.

ReAct Agent: Create a Calculator using a ReAct Agent and Tools.

Document Agent with Dynamic Tools: Create multiple QueryEngineTools dynamically and Orchestrate queries through Agent.

Semantic Similarity: Try Semantic Similarity operations and get Similarity Score. 

Sequential Query Pipeline: Create Simple Sequential Query Pipeline.

DAG Pipeline:Develop complex DAG Pipelines.

Dataframe Pipeline:Develop complex Dataframe Analysis Pipelines with Pandas Output Parser and Response Synthesizer.

Working with SQL Databases:Develop SQL Database ingestion bots using multiple approaches.

For each project, you will learn:

– The Business Problem

– What LLM and LlamaIndex Components are used

– Analyze outcomes

– What are other similar use cases you can solve with a similar approach.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Introduction to LLMs

Lecture 3: Introduction to LlamaIndex

Lecture 4: Introduction to Prompts

Lecture 5: Prompts – Advanced

Lecture 6: Setup your Development Environment

Lecture 7: Your first LlamaIndex Program

Chapter 2: Getting Deeper into LlamaIndex

Lecture 1: Format Prompt Templates

Lecture 2: Conversational Prompts

Lecture 3: Semantic Similarity Evaluator

Lecture 4: Language Embeddings and Vector Databases

Lecture 5: Using a Chroma DB Vector Database

Lecture 6: LlamaIndex with SQL Database

Lecture 7: LlamaIndex Query Pipelines

Lecture 8: Setting up a Simple Sequential Query Pipeline

Lecture 9: Setting up a DAG Pipeline

Lecture 10: Setting up a Dataframe Pipeline

Lecture 11: Working with Agents and Tools

Lecture 12: Create a Calculator using a ReAct Agent

Lecture 13: Create a Document Agent with Dynamically built Tools

Lecture 14: Build a Code Checker with Streamlit UI

Instructors

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 0 votes
  • 3 stars: 2 votes
  • 4 stars: 9 votes
  • 5 stars: 26 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

You may also like

Google Shopping Ads Digital Marketing Course

Complete Copywriting System : write to sell with ease

Product Positioning Masterclass: Unlock Market Traction