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Gen AI – RAG Application Development using LlamaIndex

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Gen AI – RAG Application Development using LlamaIndex Course by Manas Dasgupta on Udemy. Learn LlamaIndex to Develop RAG Applications using Open AI GPT, Gemini LLM and Vector Databases

Udemy Coupon for Gen AI – RAG Application Development using LlamaIndex. Find Out Other Generative AI Courses and Tutorials from Udemy Learning with Discount Coupon Codes. Learn LlamaIndex to Develop RAG Applications using Open AI GPT, Gemini LLM and Vector Databases

Course Description

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.

Recommended Gen AI Course on Udemy

Gen AI – RAG Application Development using LangChain

Gen AI – RAG Application Development using LangChain

Develop powerful RAG Applications using Open AI GPT APIs, LangChain LLM Framework and Vector Databases

This Gen AI – RAG Application Development using LangChain course on developing RAG Applications using Open AI GPT APIs, LangChain LLM Framework and Vector Databases is intended to enable learners who want to build a solid conceptual and hand-on proficiency to be able to solve any RAG automation projects given to them. This LangChain course covers all the basics aspects of LLM and Frameworks like Agents, Tools, Chains, Retrievers, Output Parsers, Loaders and Splitters and so on in a very thorough manner with enough hands-on coding. It also takes a deep dive into concepts of Language Embeddings and Vector Databases to help you develop efficient semantic search and semantic similarity based RAG Applications.

LlamaIndex- Develop LLM powered applications with LlamaIndex

LlamaIndex- Develop LLM powered applications with LlamaIndex

Learn LlamaIndex by building FAST a real world generative ai LLM powered application LLM (Python)

Welcome to LlamaIndex- Develop LLM powered applications with LlamaIndex this is first LlamaIndex Udemy course – Unleashing the Power of LLM! This comprehensive 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.

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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