Retrieval-augmented generation (RAG) is transforming how we interact with AI models by combining retrieval techniques with generative models. But what if you could build RAG applications locally, without API keys or cloud dependencies?

Let’s meet Chipper, an open-source framework that makes building local RAG apps simple. No more struggling with document chunking, vector databases, LLM integration, and UI setups separately. With Chipper, you can set up a self-contained RAG system on your local machine in minutes.