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

llm deployment Featured

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 the realm