Embedchain is an open-source RAG (Retrieval Augmented Generation) framework designed to simplify the creation and deployment of AI applications. With its philosophy of "conventional yet configurable", it caters to both software engineers and machine learning engineers. Embedchain streamlines the process of building RAG applications by providing a seamless workflow for managing various types of unstructured data. It efficiently segments data into manageable chunks, generates relevant embeddings, and stores them in a vector database for optimized retrieval. Through a diverse set of APIs, it empowers users to extract contextual information, find precise answers, or participate in interactive chat dialogues, all tailored to their own data.