Brief

This article introduces Retrieval-Augmented Generation (RAG) as a method for enhancing Large Language Models (LLMs) by allowing them to access and cite information from user-provided documents. It details three open-source, private options for implementing RAG: Open WebUI, AnythingLLM, and a manual approach using LangChain. These tools enable users to upload various file types, such as PDFs and code, and then query their content with local LLMs without sending data externally. AI

Open WebUI is a new self-hosted interface designed to provide a ChatGPT-like experience for local large language models. It offers features such as document chat via RAG, image generation integration, voice input, and multi-user support. The tool is easily installable via Docker or pip and connects to Ollama, ensuring user data remains on their local machine. AI