--- title: "Discussion on \"Retrieval-Augmented Generation (RAG): Enhancing AI Responses with External Knowledge\" | Hashnode" description: "Discussion on \"Retrieval-Augmented Generation (RAG): Enhancing AI Responses with External Knowledge\". 1. Abstract\nRetrieval-Augmented Generation (RAG) represents a transformative approach in artificial intelligence that combines the power of large language models with the precision of information retrieval systems. This presentation explores how RAG ..." url: "https://hashnode.com/posts/retrieval-augmented-generation-rag-enhancing-ai-responses-with-external-knowledge/6849066154778fc48a0c3628" --- [Feed](https://hashnode.com/feed) / Discussion # [Retrieval-Augmented Generation (RAG): Enhancing AI Responses with External Knowledge](https://arshnoor.hashnode.dev/retrieval-augmented-generation-rag-enhancing-ai-responses-with-external-knowledge?utm_source=hashnode&utm_medium=feed) 1\. Abstract Retrieval-Augmented Generation (RAG) represents a transformative approach in artificial intelligence that combines the power of large language models with the precision of information retrieval systems. This presentation explores how RAG ... Jun 11, 2025 ยท 27 min read ยท arshnoor.hashnode.dev Read the article - [#rag](https://hashnode.com/tag/rag) - [#retrieval-augmented-generation](https://hashnode.com/tag/retrieval-augmented-generation) - [#embedding](https://hashnode.com/tag/embedding) - [#vector-database](https://hashnode.com/tag/vector-database) - [#vectorsearch](https://hashnode.com/tag/vectorsearch) - [#vector-similarity](https://hashnode.com/tag/vector-similarity) - [#chatbot](https://hashnode.com/tag/chatbot) - [#llm](https://hashnode.com/tag/llm) ## Written by [Arshnoor Singh Sohi](https://hashnode.com/@arshnoorsinghsohi) @arshnoorsinghsohi ยท Windsor, Ontario [View profile](https://hashnode.com/@arshnoorsinghsohi) Building intelligent systems, one line of code at a time ๐Ÿš€ ๐Ÿ‘จโ€๐Ÿ’ป Master's student in Applied Computing (AI Specialization) at University of Windsor ๐Ÿ† 1st Place Winner - NLP & Large Language Models Workshop 2025 ๐Ÿ”ง I build end-to-end solutions - from distributed file systems in C to production-ready RAG systems achieving 91% precision. Currently exploring the intersection of AI and software engineering. ๐Ÿ“Š My projects span the full spectrum: real-time collaborative web apps, intelligent recommendation systems, and machine learning pipelines that actually work in production. ๐ŸŒฑ Always learning, always building. When I'm not debugging code, you'll find me experimenting with the latest AI frameworks or contributing to open source. ๐ŸŽฏ Currently seeking co-op opportunities to apply my skills in real-world challenges. ๐Ÿ“ Windsor, ON | ๐Ÿ”— Open to connect and collaborate! ## Responses Markdown supported ยท โŒ˜โ†ต to post No responses yet.