RAG Vs VectorDB. Introduction to RAG and VectorDB, by Bijit Ghosh, Jan, 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 achieve. In this blog post, I…

Bijit Ghosh – Medium

Vector Database impact on RAG Efficiency, by Bijit Ghosh

Core RAG Architecture with AlloyDB AI, by Christoph Bussler, Google Cloud - Community

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Please Use Streaming Workload to Benchmark Vector Databases, by Eric Zhù

Leveraging Vector Databases for Enhanced LLM Performance, by Khaerul Umam, Nov, 2023, Medium

List: RAG/VectorDB/Query, Curated by Seba

Practical Considerations in RAG Application Design, by Kelvin Lu

Core RAG Architecture with AlloyDB AI, by Christoph Bussler, Google Cloud - Community

An Evaluation of Vector Database Systems: Features, and Use Cases, by Raghav Yadav

Data Engineer 2.0. Part II: Retrieval Augmented Generation, by Eric Bellet, Adevinta Tech Blog, Feb, 2024

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What Is Retrieval-Augmented Generation aka RAG

Retrieval Augmented Generation: Refine LLM Responses with RAG — Elastic Search Labs

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