ChromaDB

Building a Privacy-First Local RAG In today’s data-driven world, organizations are caught between two competing needs: leveraging the power of AI to manage massive amounts of scattered information and ensuring that sensitive data never leaves their secure environment. Traditional search methods fall short, often returning raw documents without context or risking data exposure through external cloud services . With this project I tackles this challenge by building a fully local Retrieval-Augmented Generation (RAG) chat application. It combines local Large Language Models (LLMs) with a local data retrieval pipeline. ...