neural-rag

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.

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.