coderonfleek/rag-from-scratch

This repository is a command-line RAG demo. Its build workflow reads supported local files, stores their contents in SQLite, chunks them, embeds them, and persists vectors in Chroma. Its query workflow loads that vector store, retrieves top-k documents for a supplied query, and prints them; it does not generate an LLM answer. The README also documents HuggingFace, OpenAI, and Google embedding options. The workflow is supported by the sampled source; optional provider connections are shown as integrations.