Building a Minimal RAG Model Step by Step

Building a Minimal RAG Model Step by Step

Datawhale Insights Author: Song Zhixue, Datawhale Member Hello everyone, I am not a fan of garlic and ginger. Next, I will guide you step by step to implement a simple RAG model, which is a simplified version of RAG, called Tiny-RAG. Tiny-RAG is a simplified version of RAG that only includes the core functions of … Read more

Cohere RAG Vectorization Tool: Compass Unlocks Multidimensional Email Invoice Log Retrieval

Cohere RAG Vectorization Tool: Compass Unlocks Multidimensional Email Invoice Log Retrieval

In today’s business landscape, corporate data exhibits high diversity and complexity. Emails, invoices, resumes, support tickets, log messages, and tabular data all contain intricate conceptual relationships and contextual information. However, traditional single-vector embedding models struggle to capture and understand this complex multidimensional data structure, posing significant challenges for data retrieval and mining. The Current State … Read more

Introduction to RAG Technology: A New Journey in Large Model Application Development

Introduction to RAG Technology: A New Journey in Large Model Application Development

What is RAG Technology RAG, or Retrieval-Augmented Generation technology, is an AI architecture that combines retrieval and generation. It enhances the output quality of language models by retrieving external knowledge. This is akin to equipping large language models with an intelligent knowledge base, enabling them to retrieve and reference relevant information in real-time while generating … Read more