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Introductionhttps://patch-diff.githubusercontent.com/asimunit/rag#introduction
RAG Types Overviewhttps://patch-diff.githubusercontent.com/asimunit/rag#rag-types-overview
Detailed RAG Architectureshttps://patch-diff.githubusercontent.com/asimunit/rag#detailed-rag-architectures
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https://patch-diff.githubusercontent.com/asimunit/rag#-essential-papers
Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskshttps://arxiv.org/abs/2005.11401
Dense Passage Retrieval for Open-Domain Question Answeringhttps://arxiv.org/abs/2004.04906
Self-RAG: Learning to Critique and Revisehttps://arxiv.org/abs/2310.11511
Corrective Retrieval Augmented Generationhttps://arxiv.org/abs/2401.15884
HyDE: Precise Zero-Shot Dense Retrievalhttps://arxiv.org/abs/2212.10496
From Local to Global: A Graph RAG Approachhttps://arxiv.org/abs/2404.16130
Knowledge Graph Enhanced RAGhttps://arxiv.org/abs/2311.04813
https://patch-diff.githubusercontent.com/asimunit/rag#-learning-resources
DeepLearning.AI RAG Coursehttps://www.deeplearning.ai/courses/retrieval-augmented-generation/
LangChain & Vector Databases Coursehttps://www.pinecone.io/learn/
Hugging Face NLP Coursehttps://huggingface.co/course/
Pinecone Learning Centerhttps://www.pinecone.io/learn/
LangChain Bloghttps://blog.langchain.dev/
Towards Data Science RAG Articleshttps://towardsdatascience.com/tagged/rag
https://patch-diff.githubusercontent.com/asimunit/rag#️-implementation-templates
Basic RAG Templatehttps://github.com/microsoft/rag-template
Production RAG Pipelinehttps://github.com/pinecone-io/examples
RAG Evaluation Suitehttps://github.com/explodinggradients/ragas
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Contributing Guidelineshttps://patch-diff.githubusercontent.com/asimunit/rag/blob/master/CONTRIBUTING.md
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