Retrieval-Augmented Generation - MonsterAPI Blog

Retrieval-Augmented Generation

A collection of 2 posts

Retrieval-Augmented Generation vs LLM Fine-Tuning

Retrieval-Augmented Generation

RAG vs Fine-Tuning: Choosing the Right Approach for Your LLM

RAG involves combining information retrieval with generative language models. Fine-tuning includes training a pre-trained LLM on a specific dataset to suit a particular task. Here's when to use RAG vs Fine-tuning.

Build a Retrieval-Augmented Generation ChatBot in 10 Minutes using MonsterAPI

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Build a Retrieval-Augmented Generation ChatBot in 10 Minutes using MonsterAPI

Retrieval Augmented Generation (RAG) is a technique that generates answers to pre-existing queries by combining pre-established rules or parameters (non-parametric memory) with external data from the internet (parametric memory). By responding in natural language conversations with contextually relevant responses, RAG bots are revolutionizing user interactions. We'll dive into