Build & Test AI Agents, ChatBot, RAG with Ollama & Local LLM

Unlock the power of offline AI development with Karthik KK's comprehensive guide on building and testing AI Agents, Chatbots, and Retrieval-Augmented Generation (RAG) pipelines locally. Designed for developers prioritizing privacy and cost-efficiency, this course guides you through running local Large Language Models (LLMs) using Ollama on your personal machine. You will dive deep into LangChain to orchestrate complex chains, prompt templates, and conversational histories. Step-by-step, you will construct responsive chatbots that maintain context, build robust RAG systems integrated with local vector databases, and implement embeddings for semantic search. Moving beyond basic chatbots, the curriculum teaches you how to empower your models with tool-use capabilities to create autonomous AI Agents. Finally, you will master the crucial stage of LLM application development: evaluation. Using LangSmith and the RAGAs framework, you will learn to rigorously test, trace, and optimize your local AI agents and RAG pipelines. This course is an invaluable resource for software engineers, AI developers, and tech enthusiasts looking to build secure, production-grade local AI solutions without relying on expensive cloud APIs.