Revolutionizing Query Resolution with a RAG System Assisted by Agents

  • IntermediateLevel

  • 800+Students Enrolled

  • 30 MinsDuration

  • 4.6Average Rating

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About this Course

  • Learn how to retrieve relevant context from documents using embeddings and vector databases like ChromaDB to enhance AI-powered query resolution.
  • Use LLMs to process retrieved data and generate accurate responses. Optimize retrieval with query enhancements for better efficiency and accuracy.
  • Develop AI-driven customer support or knowledge management systems that leverage RAG for real-world applications in business and automation.

Learning Outcomes

Master RAG

Retrieve context using embeddings & vector databases like ChromaDB.

AI Agent: Accurate Reply

Use LLMs & query enhancements for precise and efficient responses.

Build AI-Powered Systems

Develop AI-powered support & knowledge management solutions.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

toolstoolstools

  1. 1. Learn RAG based system

  2. 2. Hands-on: RAG based system

  3. 3. Simplified RAG Architecture

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Apoorv Vishnoi

Head - Training, Analytics Vidhya

Apoorv is a seasoned AI professional with over 14 years of experience. He has founded companies, worked at start-ups and mentored start-ups at incubation cells.

Get this Course Now

With this course you’ll get

  • 30 Mins

    Duration

  • Apoorv Vishnoi

    Instructor

  • Intermediate

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

RAG (Retrieval-Augmented Generation) is an AI framework that enhances the response generation process by first retrieving relevant information from a knowledge source before generating an answer using a Large Language Model (LLM).

AI agents automate query handling by retrieving relevant data, processing it with LLMs, and generating accurate responses.

The course covers LLMs, embeddings, vector databases like ChromaDB, and AI agents for optimizing query resolution.

Yes! The course includes practical exercises to help you build and optimize AI-powered query resolution systems.

Yes, upon completion, you will receive a certificate after completion of this course.

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