RAG is one of those patterns that sounds more complicated than it has to be. At its core,...
RAG is one of those patterns that sounds more complicated than it has to be.
At its core, retrieval-augmented generation is just:
Store some documents
Embed the user’s question
Find the most relevant docs
Learn how the RAG workflow works — from ingestion and embedding to retrieval, augmentation, and generation. Covers hybrid search,…
Retrieval-augmented generation (RAG) connects LLM answers to your own documents instead of relying on...
RAG Explained: How Retrieval-Augmented Generation Actually Works What Is...
RAG sounds complicated. It's not. But a lot of introductions to RAG make it sound more mysterious...
RAG is not new. Chunk a document, embed the chunks, store them in a vector database, run a retrieval...
So during my 4th Year of my college my team had decided to build a Personalized AI Assistant that can...
