# Neural RAG
Neural Rag is a LLM framework to build Vector RAG and Graph RAG knowledge base. It provides the foundation to quickly build agents.
## What is RAG?
RAG stands for Retrieval Augmented Generation.
It was introduced in the paper [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://arxiv.org/abs/2005.11401).
Each step can be roughly broken down to:
Retrieval - Seeking relevant information from a source given a query. For example, getting relevant passages of Wikipedia text from a database given a question.
Augmented - Using the relevant retrieved information to modify an input to a generative model (e.g. an LLM).
Generation - Generating an output given an input. For example, in the case of an LLM, generating a passage of text given an input prompt.
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Release files for neural-rag 0.5.27
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