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LangChain / RAG / Vector DBs · Lesson

Core Components of a RAG System

Discover the essential building blocks of a RAG pipeline, including document loading, embedding, vector stores, and retrieval.

RAG's Building Blocks

Let us break down a RAG system’s parts. Think of RAG as a smart librarian for your LLM, fetching the right facts from your own knowledge base.

Load Your Knowledge

It starts with document loading: pulling your knowledge in from any source — PDFs, web pages, databases, plain text — so the LLM can draw on it.

All lessons in this course

  1. What are Large Language Models?
  2. The Need for Retrieval Augmented Generation
  3. Core Components of a RAG System
  4. Embeddings and Vector Databases
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