Practical RAG - Supercharge Your LLMs with Real World Data Integration

25 Oct 2025 01:30 AM CST

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Webinar Overview

Retrieval Augmented Generation (RAG) improves large language models by giving them access to up-to-date, domain-specific information outside their original training data. We’ll cover the core RAG architecture, selecting and indexing sources, embeddings and vector stores, prompt patterns, evaluation metrics, and practical deployment tips — finished with a short live demo and a checklist you can use right away.

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Meet The Trainer

Kannan S

A highly skilled .NET professional with expertise in software development, architecture, and training, backed by multiple certifications and experience in full-stack projects, client-side technologies, and DevOps tools. Also skilled in Java, cloud platforms, and data science tools.

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