--- title: "#rag-architecture articles | Hashnode" description: "Explore 9 articles tagged #rag-architecture on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/rag-architecture" --- Tag # #rag-architecture 9 posts · 0 followers [Muhammad Tahir](https://hashnode.com/@mtahir27) · [Oct 11](https://hashnode.com/posts/hybrid-search-architecture-combining-bm25-keyword-search-with-dense-vector-embeddings/6acb4d0df9f50bf9fc84ab41) ### [Hybrid Search Architecture: Combining BM25 Keyword Search with Dense Vector Embeddings](https://mtdeveloper.hashnode.dev/hybrid-search-architecture-combining-bm25-keyword-search-with-dense-vector-embeddings?utm_source=hashnode&utm_medium=feed) This article was originally published on Muhammad Tahir's Portfolio. Introduction & Industry Context In the early wave of generative AI and Retrieval-Augmented Generation (RAG) deployments, engineerin 13 min read · [mtdeveloper.hashnode.dev](https://mtdeveloper.hashnode.dev/hybrid-search-architecture-combining-bm25-keyword-search-with-dense-vector-embeddings?utm_source=hashnode&utm_medium=feed) [The Flux Read](https://hashnode.com/@thefluxread) · [Aug 25](https://hashnode.com/posts/how-to-create-a-private-business-knowledge-base-with-ai-rag-architecture/6a8d107a0383fb9fe5248330) ### [How to Create a Private Business Knowledge Base with AI RAG Architecture](https://thefluxread.hashnode.dev/how-to-create-a-private-business-knowledge-base-with-ai-rag-architecture?utm_source=hashnode&utm_medium=feed) Learn how to build a secure, private business knowledge base using AI RAG architecture. Eliminate chatbot memory limits with vector databases & privat 9 min read · [thefluxread.hashnode.dev](https://thefluxread.hashnode.dev/how-to-create-a-private-business-knowledge-base-with-ai-rag-architecture?utm_source=hashnode&utm_medium=feed) [Ankush Aggarwal](https://hashnode.com/@ankushagg) · [Jul 31](https://hashnode.com/posts/rag-information-retrieval-understanding-the-retrieval-layer/6aa40b0cfa7347470ce64c6e) ### [RAG & Information Retrieval: Understanding the Retrieval Layer](https://ankushagg-ai.hashnode.dev/rag-information-retrieval-understanding-the-retrieval-layer?utm_source=hashnode&utm_medium=feed) What actually happens between a user's question and the documents supplied to the LLM? 9 min read · [ankushagg-ai.hashnode.dev](https://ankushagg-ai.hashnode.dev/rag-information-retrieval-understanding-the-retrieval-layer?utm_source=hashnode&utm_medium=feed) [Krish Mahyavanshi](https://hashnode.com/@krish27m) · [Jul 11](https://hashnode.com/posts/where-rag-fails-understanding-the-limitations-of-retrieval-augmented-generation/6a51f50c1bbdb92365450b38) ### [Where RAG Fails: Understanding the Limitations of Retrieval-Augmented Generation](https://krizh.hashnode.dev/where-rag-fails-understanding-the-limitations-of-retrieval-augmented-generation?utm_source=hashnode&utm_medium=feed) A beginner-friendly visual guide to Retrieval-Augmented Generation (RAG)—understand why it was introduced, how it works behind the scenes, where it fails, and when it isn't the right solution, all through simple real-world examples and illustrations. 7 min read · [krizh.hashnode.dev](https://krizh.hashnode.dev/where-rag-fails-understanding-the-limitations-of-retrieval-augmented-generation?utm_source=hashnode&utm_medium=feed) [2](https://hashnode.com/posts/where-rag-fails-understanding-the-limitations-of-retrieval-augmented-generation/6a51f50c1bbdb92365450b38) [Elisé Baraka M.](https://hashnode.com/@ebmurha) · [May 1](https://hashnode.com/posts/building-a-rag-engine-part-3-domain-neutral-architecture/6a34b518fbf1d5b651bb85d9) ### [Building a RAG Engine — Part 3: Domain-Neutral Architecture](https://ebmurha.hashnode.dev/building-a-rag-engine-part-3-domain-neutral-architecture?utm_source=hashnode&utm_medium=feed) Designing a reusable RAG architecture with versioned APIs, domain packs, metadata filters, feedback learning, and reference storage. 11 min read · [ebmurha.hashnode.dev](https://ebmurha.hashnode.dev/building-a-rag-engine-part-3-domain-neutral-architecture?utm_source=hashnode&utm_medium=feed) [Jahanzaib](https://hashnode.com/@jahanzaibai) · [Apr 4](https://hashnode.com/posts/agentic-rag-the-complete-production-guide-nobody-else-wrote/69d0cbc1eef808d273ded156) ### [Agentic RAG: The Complete Production Guide Nobody Else Wrote](https://jahanzaibai.hashnode.dev/agentic-rag-the-complete-production-guide-nobody-else-wrote?utm_source=hashnode&utm_medium=feed) Three months into a contract with a mid-sized insurance company, I was sitting across from their CTO watching their "AI knowledge base" answer questions about their own products. The system retrieved the right documents 90% of the time. But on anythi... 19 min read · [jahanzaibai.hashnode.dev](https://jahanzaibai.hashnode.dev/agentic-rag-the-complete-production-guide-nobody-else-wrote?utm_source=hashnode&utm_medium=feed) [Sonu Goswami](https://hashnode.com/@saaswithsonu) · [Dec 9, 2025](https://hashnode.com/posts/why-saas-founders-must-understand-ai-hallucinations/6937d9466dd9f1edab49581c) ### [Why SaaS Founders Must Understand AI Hallucinations](https://contentforsaas.hashnode.dev/why-saas-founders-must-understand-ai-hallucinations?utm_source=hashnode&utm_medium=feed) AI features break when models hallucinate. SaaS founders need to understand why it happens and how to reduce it before shipping AI products. 2 min read · [contentforsaas.hashnode.dev](https://contentforsaas.hashnode.dev/why-saas-founders-must-understand-ai-hallucinations?utm_source=hashnode&utm_medium=feed) [Lilly Scott](https://hashnode.com/@LillyScott) · [Sep 11, 2025](https://hashnode.com/posts/8-retrieval-augmented-generation-rag-architectures-you-should-know-in-2025/68c2ccd2c4c9adcf325f2f94) ### [8 Retrieval Augmented Generation (RAG) Architectures You Should Know in 2025](https://lillyscott.hashnode.dev/8-retrieval-augmented-generation-rag-architectures-you-should-know-in-2025?utm_source=hashnode&utm_medium=feed) 8 Retrieval Augmented Generation (RAG) Architectures You Should Know in 2025 4 min read · [lillyscott.hashnode.dev](https://lillyscott.hashnode.dev/8-retrieval-augmented-generation-rag-architectures-you-should-know-in-2025?utm_source=hashnode&utm_medium=feed) [Rohit Lokhande](https://hashnode.com/@rohit2301) · [Apr 17, 2025](https://hashnode.com/posts/boosting-llm-performance-with-rag/68008130dd44efd57a294670) ### [Boosting LLM Performance with RAG](https://blog.rohitlokhande.in/boosting-llm-performance-with-rag?utm_source=hashnode&utm_medium=feed) how RAG boosts LLMs using external data like PDFs and Excel files, with a real estate example showing how to build accurate, context-aware AI from structur 5 min read · [blog.rohitlokhande.in](https://blog.rohitlokhande.in/boosting-llm-performance-with-rag?utm_source=hashnode&utm_medium=feed)