Main/Temporary/RAG.md

title, created_date, updated_date, aliases, tags

title	created_date	updated_date	aliases	tags
RAG	2025-07-23	2025-07-23

RAG

LangChain Tutorial

Build a Retrieval Augmented Generation (RAG) App: Part 1 | 🦜️🔗 LangChain

Indexing

The indexing is a pipeline for ingesting data and index it. This usually happens offline.

1. We need to load the data. This can come from a variety of different sources
2. We need to split the data into chunks because its easier for indexing and for passing it into a model.
3. We need to store and index the splits such that we can search over them later. Examples are VectorStore and Embeddings model.