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Leveraging Vector Databases in Retrieval-Augmented Generation Systems
Incorporating vector databases into Retrieval-Augmented Generation (RAG) systems can bring a significant boost in general capability to natural language processing (NLP). This overview highlights some of the technicalities of vector databases and how they can be enhanced with the use of RAG. This can be especially useful for text search powered by large language models…
Large Language Models
Retrieval Augmented Generation
Retrieval Augmented Generation: A Primer for Software Developers
In the ever-evolving landscape of artificial intelligence, large language models have emerged as a cornerstone for a variety of applications. Among these, Retrieval Augmented Generation (RAG) stands out as a significant advancement, offering a blend of information retrieval and generative capabilities. This article aims to introduce software developers, particularly those new to large language models,…