Reranker

Advanced Practices of RAG: Enhancing Effectiveness with Rerank Technology

by
Advanced Practices of RAG: Enhancing Effectiveness with Rerank Technology

▼Recently, there have been a lot of live broadcasts,make an appointment to ensure you gain something. The RAG (Retrieval-Augmented Generation) technology is detailed in the article “Understanding RAG: A Comprehensive Guide to Retrieval-Augmented Generation,” with a typical RAG case shown in the image below, which includes three steps: Indexing: Split the document library into shorter … Read more

Improving RAG Application Accuracy: Understanding Rerankers

by
Improving RAG Application Accuracy: Understanding Rerankers

Retrieval-Augmented Generation (RAG) is an emerging AI technology stack that enhances the capabilities of large language models (LLMs) by providing additional “up-to-date knowledge”. The basic RAG application includes four key technical components: Embedding Model: Used to convert external documents and user queries into embedding vectors Vector Database: Used to store embedding vectors and perform vector … Read more