Community Picks·1yBuilding a Local RAG Chat App with Reflex, LangChain, Huggingface, and Ollama
Learn how to build a privacy-focused RAG-powered chat app using Reflex, LangChain, Hugging Face, FAISS, and Ollama. This step-by-step guide covers setting up a local environment, creating an interactive chat UI, embedding search, and integrating local LLM, eliminating cloud dependencies and frontend expertise.
Tech With Tim·1yHow to Build a Local AI Agent With Python (Ollama, LangChain & RAG)
Learn how to build a local AI agent using Python, LangChain, Ollama, and ChromaDB. The project demonstrates setting up an AI to query and interpret data from a CSV file, such as restaurant reviews, using retrieval augmented generation. All processes run locally without requiring external accounts or cloud services, making it a highly accessible project.
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.
Daily Dose of Data Science | Avi Chawla | Substack·1y[Hands-on] RAG Over GitHub Repos
Ragie Connect offers a comprehensive infrastructure for building RAG applications over user data by handling authentication, authorization, and syncing from sources like Google Drive and Salesforce. This guide demonstrates how to create a RAG app over GitHub repositories using GitIngest to parse the repo and Llama-3.2 as the LLM. The process involves parsing the GitHub repo, setting up the LLM, embedding the data, and creating an index for interaction, with a neat interface and a promise for more advanced techniques in future guides.
Hacker News·1yFosowl/agenticSeek: A open, local Manus AI alternative. No APIs, No $200 monthly bills. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity.
AgenticSeek offers a local, AI-driven assistant that operates autonomously on your device, eliminating dependence on cloud services and ensuring privacy. It can browse the web, assist in coding, and execute complex tasks using a variety of local AI models like Deepseek R1. The project focuses on providing a free alternative to costly API-dependent solutions like Manus AI, using local reasoning models for autonomy and privacy.