
RAG Pipeline: 7 Iterations Explained!
Cyril Imhof
🎥 A Simple Example of Using Retrieval-Augmented Generation (RAG) In this video, I show how RAG can be used inside a company to answer employees’ questions about internal regulations like HR rules, leave policy, or remote work by connecting an LLM to private documents. 🧠 Tools used: OpenAI (for embeddings & generation) → https://platform.openai.com LangChain (for building the RAG pipeline) → https://www.langchain.com ChromaDB (for vector database & retrieval) → https://www.trychroma.com 💬 The system retrieves the most relevant internal rules and generates clear answers — a practical demo of how RAG can power internal company assistants. #RAG #LangChain #ChromaDB #OpenAI #AIassistant #LLM #AIinBusiness