What is RAG: Understanding Retrieval-Augmented Generation - Qdrant

Explore how RAG enables LLMs to retrieve and utilize relevant external data when generating responses, rather than being limited to their original training data alone.

retrieval-augmented-generation · GitHub Topics · GitHub

Optimizing AI models: Fine-Tuning OpenAI Models with Qdrant and Few-Shot Learning

Qdrant LinkedIn

Qdrant LinkedIn

Andreas Nigg on LinkedIn: Using XGBoost to predict probability

Retrieval-Augmented Generation (RAG), by Jagadeesh Malakannavar, Feb, 2024

Scaling RAG systems for the enterprise

Dan Thuy Vo on LinkedIn: 🌾

Building a basic RAG (Retrieval Augmented Generation) system in a Rails app, by Andrei Bondarev