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 amirmalik.net
RAG Embeddings, Chunking, and Retrieval Basics | Amir's Blog
| | wandb.ai
What is Retrieval Augmented Generation (RAG)? - Weights & Biases
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| | [AI summary] This article explains Retrieval Augmented Generation (RAG), a technique that enhances AI models by integrating real-time data retrieval with generative models to improve accuracy, reduce hallucinations, and adaptability in dynamic fields like healthcare, finance, and customer support.
| | blacklight.sh
RAG is (Not) Dead: How to Think about Building RAG Systems | Kyle's Blog
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| | RAG isn't about vector databases and embeddings, or any specific architecture. It's about retrieving relevant context well.
| | lantern.dev
Vector databases explained | Lantern Blog
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| | We give an overview of vector databases, and major concepts around them, including vector embeddings, vector indexing, and vector search.
| | blog.martinig.ch
Software Development Linkopedia February 2018
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| Informations and opinions about software architecture, developers on call, holacracy, Scrum, continuous testing, product management, saying thank you, tech leadership, customer journey maps, code reviews, code sharing, good bugs, android testing and open source project management.