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title: "#rag-retrievalaugmentedgeneration-llmapplications-technicaldocs-sensorengineering-multimodalai-graphrag-hydeprompting-aiforengineers-knowledgegraphs-machinelearning-langchain-llamaindex-ocr-mechatronics-industrialai-smartmanufacturing-aiknowledgemanagement-semanticsearch-aiinfrastructure articles | Hashnode"
description: "Explore 28 articles tagged #rag-retrievalaugmentedgeneration-llmapplications-technicaldocs-sensorengineering-multimodalai-graphrag-hydeprompting-aiforengineers-knowledgegraphs-machinelearning-langchain-llamaindex-ocr-mechatronics-industrialai-smartmanufacturing-aiknowledgemanagement-semanticsearch-aiinfrastructure on Hashnode. Tutorials, guides, and how-tos from the community."
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# #rag-retrievalaugmentedgeneration-llmapplications-technicaldocs-sensorengineering-multimodalai-graphrag-hydeprompting-aiforengineers-knowledgegraphs-machinelearning-langchain-llamaindex-ocr-mechatronics-industrialai-smartmanufacturing-aiknowledgemanagement-semanticsearch-aiinfrastructure

28 posts · 0 followers

[Praharsh Singh](https://hashnode.com/@praharshsingh63) · [Jul 20](https://hashnode.com/posts/slash-your-llm-token-costs-introducing-toon/6a5e4ba60aa6eb01c122278d)

### [Slash Your LLM Token Costs: Introducing TOON](https://aihistorybypraharsh.hashnode.dev/slash-your-llm-token-costs-introducing-toon?utm_source=hashnode&utm_medium=feed)

Learn how Token-Oriented Object Notation (TOON) cuts LLM token costs by up to 60%. A lightweight, lossless drop-in replacement for JSON prompts

15 min read · [aihistorybypraharsh.hashnode.dev](https://aihistorybypraharsh.hashnode.dev/slash-your-llm-token-costs-introducing-toon?utm_source=hashnode&utm_medium=feed)

[SANAN ANSARI](https://hashnode.com/@sannan) · [Jul 6](https://hashnode.com/posts/embeddings-and-rag-how-ai-systems-actually-know-things/6a4b425957a1483955bb0fd0)

### [Embeddings and RAG — How AI Systems Actually Know Things](https://learn.sannan.app/embeddings-and-rag-how-ai-systems-actually-know-things?utm_source=hashnode&utm_medium=feed)

A RAG from scratch with sentence-transformers and ChromaDB. Covers embeddings, chunking, semantic and a 6-case eval suite that caught a document gap.

10 min read · [learn.sannan.app](https://learn.sannan.app/embeddings-and-rag-how-ai-systems-actually-know-things?utm_source=hashnode&utm_medium=feed)

[Amrit Raj](https://hashnode.com/@yes-amrit) · [May 19](https://hashnode.com/posts/the-physics-of-hallucination-in-large-language-models/6a0c160e6444917903bd4866)

### [The Physics of Hallucination in Large Language Models](https://tokenandtruth.hashnode.dev/the-physics-of-hallucination-in-large-language-models?utm_source=hashnode&utm_medium=feed)

Understanding why probabilistic language models generate confident falsehoods

10 min read · [tokenandtruth.hashnode.dev](https://tokenandtruth.hashnode.dev/the-physics-of-hallucination-in-large-language-models?utm_source=hashnode&utm_medium=feed)

[Abdulsalam Lukmon](https://hashnode.com/@Litmus) · [Apr 13](https://hashnode.com/posts/the-art-of-context-engineering-building-agents-that-don-t-break/69dcb3cebe21b1bd015ff4a6)

### [The Art of Context Engineering: Building Agents That Don't Break](https://learn-with-litmus.hashnode.dev/the-art-of-context-engineering-building-agents-that-don-t-break?utm_source=hashnode&utm_medium=feed)

Master the principles of LLM context management to optimize agent performance, reduce token costs, and improve reasoning accuracy.

4 min read · [learn-with-litmus.hashnode.dev](https://learn-with-litmus.hashnode.dev/the-art-of-context-engineering-building-agents-that-don-t-break?utm_source=hashnode&utm_medium=feed)

[Maithri Meda](https://hashnode.com/@maithri) · [Feb 14](https://hashnode.com/posts/pageindex-rag-a-smarter-way-to-do-retrieval-for-long-documents/69929b6bf7dadb1f2c4101f3)

### [PageIndex RAG: A Smarter Way to Do Retrieval for Long Documents](https://maithri.hashnode.dev/pageindex-rag-a-smarter-way-to-do-retrieval-for-long-documents?utm_source=hashnode&utm_medium=feed)

PageIndex RAG

5 min read · [maithri.hashnode.dev](https://maithri.hashnode.dev/pageindex-rag-a-smarter-way-to-do-retrieval-for-long-documents?utm_source=hashnode&utm_medium=feed)

[herbie chatbot](https://hashnode.com/@herbie-chatbot-Ai) · [Feb 2](https://hashnode.com/posts/retrieval-augmented-generation-for-smart-answers/698035b67a34edd45d47c697)

### [Retrieval Augmented Generation for Smart Answers](https://herbiebanking.hashnode.dev/retrieval-augmented-generation-for-smart-answers?utm_source=hashnode&utm_medium=feed)

Enhancing Knowledge Access with AI-Powered Retrieval Augmented Generation In today’s data-driven world, accessing the right information quickly and accurately is essential for decision-making, customer support, and operational efficiency. AI-powered ...

1 min read · [herbiebanking.hashnode.dev](https://herbiebanking.hashnode.dev/retrieval-augmented-generation-for-smart-answers?utm_source=hashnode&utm_medium=feed)

[Gaurav Gupta](https://hashnode.com/@techgupta) · [Jan 27](https://hashnode.com/posts/building-smarter-ai-apps-with-microsoft-fabric-and-graphpowered-rag/69781efe86a6fdc6c0eae03a)

### [Beyond Vectors: Graph‑Powered RAG on Microsoft Fabric for Smarter AI Apps](https://fabricwithgraphrag.hashnode.dev/building-smarter-ai-apps-with-microsoft-fabric-and-graphpowered-rag?utm_source=hashnode&utm_medium=feed)

Graph-Enhanced RAG Solution on Microsoft Fabric

5 min read · [fabricwithgraphrag.hashnode.dev](https://fabricwithgraphrag.hashnode.dev/building-smarter-ai-apps-with-microsoft-fabric-and-graphpowered-rag?utm_source=hashnode&utm_medium=feed)

[Lilly Scott](https://hashnode.com/@LillyScott) · [Dec 19, 2025](https://hashnode.com/posts/how-rag-works-in-rcm-healthcare-workflows/69452420b3c9b0fd03160b2c)

### [How RAG Works in RCM Healthcare Workflows](https://lillyscott.hashnode.dev/how-rag-works-in-rcm-healthcare-workflows?utm_source=hashnode&utm_medium=feed)

How RAG Works in RCM Healthcare Workflows

5 min read · [lillyscott.hashnode.dev](https://lillyscott.hashnode.dev/how-rag-works-in-rcm-healthcare-workflows?utm_source=hashnode&utm_medium=feed)

[Pooja Bhavani](https://hashnode.com/@Poojabhavani08) · [Dec 18, 2025](https://hashnode.com/posts/building-context-aware-ai-applications-with-rag/6943b1738f1b2eb169e1c2ec)

### [Building Context-Aware AI Applications with RAG](https://cloud-and-devops-blogs.hashnode.dev/building-context-aware-ai-applications-with-rag?utm_source=hashnode&utm_medium=feed)

What is RAG? -> Retrieval Augmented Generation is an AI framework that allows us to store the data at a particular storage, we fetch that data and utilize that data to give context to prompt into the LLM's before we directly give an query to user. Fl...

6 min read · [cloud-and-devops-blogs.hashnode.dev](https://cloud-and-devops-blogs.hashnode.dev/building-context-aware-ai-applications-with-rag?utm_source=hashnode&utm_medium=feed)

[Abdullah Syedali](https://hashnode.com/@abdullahab) · [Nov 24, 2025](https://hashnode.com/posts/day-14-scaling-your-rag-system-from-prototype-to-production/6923d851ff45c5888158a110)

### [Day 14: Scaling Your RAG System: From Prototype to Production](https://ragbuilder.hashnode.dev/day-14-scaling-your-rag-system-from-prototype-to-production?utm_source=hashnode&utm_medium=feed)

Learn how to scale RAG (Retrieval-Augmented Generation) systems for production.

6 min read · [ragbuilder.hashnode.dev](https://ragbuilder.hashnode.dev/day-14-scaling-your-rag-system-from-prototype-to-production?utm_source=hashnode&utm_medium=feed)
