Tutorials on Retrieval Augmented Generation

Learn about Retrieval Augmented Generation from fellow newline community members!

  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
  • Apollo
  • Storybook
  • D3
  • Testing Library
  • JavaScript
  • TypeScript
  • Node.js
  • Deno
  • Rust
  • Python
  • GraphQL
  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
  • Apollo
  • Storybook
  • D3
  • Testing Library
  • JavaScript
  • TypeScript
  • Node.js
  • Deno
  • Rust
  • Python
  • GraphQL
NEW

Why Retrieval-Augmented Generation Needs Time Awareness

Watch: What is Retrieval-Augmented Generation (RAG)? by IBM Technology Time awareness in Retrieval-Augmented Generation (RAG) ensures systems prioritize the most relevant and up-to-date information, which is critical in fast-evolving domains like news, healthcare, and finance. As mentioned in the…
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
•Last Updated:
00
Read Full Article

Why Retrieval-Augmented Generation Feels Untrustworthy

Retrieval-Augmented Generation (RAG) has emerged as a critical advancement in AI, bridging the gap between the static knowledge of large language models (LLMs) and the dynamic, domain-specific information needed for real-world applications. Building on concepts from the Understanding…
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
•Last Updated:
00
Read Full Article

I got a job offer, thanks in a big part to your teaching. They sent a test as part of the interview process, and this was a huge help to implement my own Node server.

This has been a really good investment!

Advance your career with newline Pro.

Only $40 per month for unlimited access to over 60+ books, guides and courses!

Learn More

What Is RAG and Its Impact on LLM Performance

RAG (Retrieval-Augmented Generation) significantly boosts the accuracy and relevance of large language models (LLMs) by integrating real-time data retrieval into the generation process. Industry studies show that models using RAG can achieve 20–30% higher recall rates in selecting relevant…
Thumbnail Image of Tutorial What Is RAG and Its Impact on LLM Performance
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
•Last Updated:
00
Read Full Article

Using Knowledge Graphs to Make Retrieval‑Augmented Generation More Consistent

Knowledge graphs address critical limitations in Retrieval-Augmented Generation (RAG) by introducing structured, context-aware frameworks that reduce ambiguity and enhance consistency. Modern RAG systems often struggle with fragmented knowledge retrieval, leading to responses that contradict each…
Thumbnail Image of Tutorial Using Knowledge Graphs to Make Retrieval‑Augmented Generation More Consistent
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
•Last Updated:
00
Read Full Article

Email Newsletter

Free tutorials and tips delivered every week.

Trusted by 100,000+ developers!

Popular Topics