SingleStore·52wBuild a Local AI Agent with Python, Ollama, LangChain and SingleStore
Learn how to build a local Retrieval-Augmented Generation AI agent using Python, Ollama, LangChain, and SingleStore. This guide provides step-by-step instructions to set up the environment, prepare data, and implement a Q&A system powered by local data and models.
freeCodeCamp·1yHow to Build Your Own Local AI: Create Free RAG and AI Agents with Qwen 3 and Ollama
The tutorial provides a step-by-step guide to setting up powerful AI systems locally, focusing on using Qwen 3 Large Language Models (LLMs) and the Ollama tool. It highlights the benefits of running AI models locally, including enhanced privacy, cost savings, and offline functionality. It explains the setup of a Retrieval-Augmented Generation (RAG) system to query local documents and the creation of a simple AI agent to use custom-defined tools.
Javarevisited·1yTop 5 Courses to Learn LangChain and Build AI-Powered Apps in 2025
LangChain is a popular framework for connecting large language models (LLMs) like OpenAI’s GPT-4 to applications, enabling the creation of intelligent AI-powered apps such as chatbots and AI agents. The post lists the top 5 Udemy courses for learning LangChain in 2025, ranging from beginner-level introductions to advanced enterprise-level integrations with tools like Pinecone, LlamaIndex, and vector databases.