What is RAG? - Retrieval-Augmented Generation AI Explained - AWS
Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data …
RAG Vs VectorDB. Introduction to RAG and VectorDB | by Bijit …
Jan 28, 2024 · Retrieval-Augmented Generation (RAG) and VectorDB are two important concepts in natural language processing (NLP) that are pushing the boundaries of what AI systems can …
RAG Time Journey 1: RAG and knowledge retrieval fundamentals ...
Mar 6, 2025 · This series consists of 5 journeys, that cover various aspects of a RAG system: RAG fundamentals; Building the ultimate retrieval system; Optimize your vector index at scale; …
A first intro to Complex RAG (Retrieval Augmented Generation)
Dec 13, 2023 · In this article, we discuss various technical considerations when implementing RAG, exploring the concepts of chunking, query augmentation, hierarchies, multi-hop …
Understanding RAG Part VII: Vector Databases & Indexing …
5 days ago · Efficiently retrieving knowledge in RAG systems is key to providing accurate and timely responses. Vector databases and indexing strategies play a crucial role in strengthening …
RAG and generative AI - Azure AI Search | Microsoft Learn
Microsoft has several built-in implementations for using Azure AI Search in a RAG solution. Azure AI Foundry, use a vector index and retrieval augmentation. Azure OpenAI, use a search index …
Retrieval Augmented Generation (RAG) and Semantic Search for …
What is Retrieval Augmented Generation (RAG), and why is it valuable for GPT builders? RAG is the process of retrieving relevant contextual information from a data source and passing that …
Optimizing RAG: A Guide to Choosing the Right Vector Database
Dec 2, 2023 · In this article, we’ll delve into the critical factors to consider when selecting a vector database for RAG, such as open-source availability, CRUD support, distributed architecture, …
Retrieval Augmented Generation (RAG) and Vector Databases
Explain the significance of RAG in data retrieval and processing. Setup RAG application and ground your data to an LLM. Effective integration of RAG and Vector Databases in LLM …
RAG Time: Ultimate Guide to Mastering RAG! | Microsoft …
Feb 27, 2025 · Learn how RAG, search indexing, and vector search work together to create smarter AI retrieval systems. 📌 March 12th, 9AM PT - Journey 2: Build the Ultimate Retrieval …
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