Retrieval-Augmented Generation: Using your Data with LLMs

Large Language Models (LLM) are great at answering questions based on which they have been trained on, mostly content available in the public domain. However, most enterprises want to use the LLMs with their specific data. Methods like LLM finetuning, RAG, and fitting data into the prompt context are different ways to achieve this.

This article explains the basics of Retrieval-Augmented Generation (RAG) and demonstrates how your data can be used with LLM-backed applications.

Understanding Retrieval Augmented Generation (RAG)

Retrieval-Augmented …

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