What is RAG? A quick 101

How is RAG used?

What's up with the context ?

Does RAG work out-of-the-box?

What do you need to configure to make it work?

RAG = Retrieval Augmented Generation

RAG, or Retrieval Augmented Generation combines the concepts of:

• Information Retrieval - searching for relevant documents within your database/index based on a query (question).


• Augmenting - adding the extra information (context) to the query you are going to make.


• Generative AI - a model (usually an LLM) takes in a query/request …

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