Building a Local RAG Chat App with Reflex, LangChain, Huggingface, and Ollama

Learn how to create a fully local, privacy-friendly RAG-powered chat app using Reflex, LangChain, Huggingface, FAISS, and Ollama. This step-by-step guide walks you through building an interactive chat UI, embedding search, and local LLM integration—all without needing frontend skills or cloud dependencies.

A Primer on the Model Context Protocol (MCP)

In this article, we dive deep into what MCP actually is, how it works behind the scenes, and why it’s being called the “USB-C for AI models.” You’ll explore how it simplifies AI integrations, the roles of Hosts, Clients, and Servers, and the security risks developers need to keep in mind.

Understanding RAG: Retrieval Augmented Generation Essentials for AI Projects

Large Language Models (LLMs) are powerful, but they don't inherently know your specific company procedures, project details, or internal knowledge base. You can bridge this gap and make AI reliably answer questions using your private data by using retrieval-augmented generation (RAG). This is a three-article series. In this article, we will go through the basics of RAG, its importance, and an overview of how to build an RAG pipeline and the tools involved.