What you'll Learn
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Retrieve context using embeddings & vector databases like ChromaDB.
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Use LLMs & query enhancements for precise and efficient responses.
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Develop AI-powered support & knowledge management solutions.
Who Should Enroll?
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Professionals eager to enhance query resolution with RAG-powered AI agents and advanced retrieval techniques.
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Experts looking to integrate LLMs, embeddings, and vector databases to build scalable AI-driven solutions.
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Individuals aiming to implement AI-powered customer support or knowledge management systems efficiently.
About the Instructor
Apoorv Vishnoi Head Training Vertical, 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.
FAQ's
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What is RAG?
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).
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How do AI agents assist in query resolution?
AI agents automate query handling by retrieving relevant data, processing it with LLMs, and generating accurate responses.
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Will I receive a certificate upon completing the course?
Yes, the course provides a certification upon completion.
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Which tools and technologies are covered in the course?
The course covers LLMs, embeddings, vector databases like ChromaDB, and AI agents for optimizing query resolution.
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Will I get hands-on experience in building a RAG-based system?
Yes! The course includes practical exercises to help you build and optimize AI-powered query resolution systems.