---
title: "#genai-cohort articles | Hashnode"
description: "Explore 364 articles tagged #genai-cohort on Hashnode. Tutorials, guides, and how-tos from the community."
url: "https://hashnode.com/tag/genai-cohort"
---

Tag

# #genai-cohort

364 posts · 4 followers

[Aditya Singh](https://hashnode.com/@adii104) · [Sep 13](https://hashnode.com/posts/i-tried-to-glue-mp3s-together-and-ffmpeg-humbled-me/6aa6f864796049318582f4ca)

### [I Tried to Glue MP3s Together and FFmpeg Humbled Me](https://adi-read-write.hashnode.dev/i-tried-to-glue-mp3s-together-and-ffmpeg-humbled-me?utm_source=hashnode&utm_medium=feed)

Why concatenating MP3 files causes glitches, how FFmpeg's decode → encode pipeline actually works, and what codecs and containers really are.

7 min read · [adi-read-write.hashnode.dev](https://adi-read-write.hashnode.dev/i-tried-to-glue-mp3s-together-and-ffmpeg-humbled-me?utm_source=hashnode&utm_medium=feed)

[Janmejai Singh](https://hashnode.com/@janmejaisingh) · [Jul 19](https://hashnode.com/posts/where-rag-fails-understanding-the-limitations-of-retrieval-augmented-generation/6a5ca2420f626f043e54050b)

### [Where RAG Fails: Understanding the Limitations of Retrieval-Augmented Generation](https://cyd3er.hashnode.dev/where-rag-fails-understanding-the-limitations-of-retrieval-augmented-generation?utm_source=hashnode&utm_medium=feed)

Where RAG Fails: Understanding the Limitations of Retrieval-Augmented Generation

10 min read · [cyd3er.hashnode.dev](https://cyd3er.hashnode.dev/where-rag-fails-understanding-the-limitations-of-retrieval-augmented-generation?utm_source=hashnode&utm_medium=feed)

[Jahangir Abbas Munnan](https://hashnode.com/@jahangirabbas) · [Jul 19](https://hashnode.com/posts/where-rag-fails-understand-the-limitations/6a5c4ec58a95ae691ee2d86e)

### [Where RAG Fails: Understand the Limitations](https://jahangirabbas.hashnode.dev/where-rag-fails-understand-the-limitations?utm_source=hashnode&utm_medium=feed)

When I first started learning about Large Language Models (LLMs), one term kept coming up everywhere: RAG (Retrieval-Augmented Generation). At first, I thought it was a perfect solution. Many videos a

5 min read · [jahangirabbas.hashnode.dev](https://jahangirabbas.hashnode.dev/where-rag-fails-understand-the-limitations?utm_source=hashnode&utm_medium=feed)

[Shay](https://hashnode.com/@shay00) · [Jul 17](https://hashnode.com/posts/where-rag-fails-understand-the-limitations/6a5a30d96f56f19b6082c241)

### [Where RAG Fails: Understand the Limitations](https://toddlerstech.hashnode.dev/where-rag-fails-understand-the-limitations?utm_source=hashnode&utm_medium=feed)

before discussing the limitations i would like to discuss what RAG is ? What is RAG ? RAG - Retrieval Augmented Generation This is a process that allows us to give LLM the specific knowledge to answer

5 min read · [toddlerstech.hashnode.dev](https://toddlerstech.hashnode.dev/where-rag-fails-understand-the-limitations?utm_source=hashnode&utm_medium=feed)

[Yash](https://hashnode.com/@yash-developer) · [Jul 15](https://hashnode.com/posts/limitations-of-rag/6a57edcc0d055a5f32f1b31d)

### [Where RAG Fails: Understand the Limitations](https://gen-ai-with-yash.hashnode.dev/limitations-of-rag?utm_source=hashnode&utm_medium=feed)

RAG sounds scary... Let's make it easy

9 min read · [gen-ai-with-yash.hashnode.dev](https://gen-ai-with-yash.hashnode.dev/limitations-of-rag?utm_source=hashnode&utm_medium=feed)

[1](https://hashnode.com/posts/limitations-of-rag/6a57edcc0d055a5f32f1b31d)

[Prajwal M](https://hashnode.com/@Glitchguy00) · [Jul 15](https://hashnode.com/posts/rag-for-dummies/6a573bd761e4f2dc68270f6c)

### [Understanding RAG: A Simple Guide for Beginners](https://glitch-guy0.hashnode.dev/rag-for-dummies?utm_source=hashnode&utm_medium=feed)

Introduction: The Problem with LLMs Large Language Models (LLMs) excel at generating text, answering questions, and even writing code. However, they have a critical limitation: they only know what the

6 min read · [glitch-guy0.hashnode.dev](https://glitch-guy0.hashnode.dev/rag-for-dummies?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)

[Omkar Tripathi](https://hashnode.com/@omkarlabs) · [Jul 11](https://hashnode.com/posts/how-do-llms-know-things-beyond-their-training-an-introduction-to-rag/6a51e4e95433b894ba3f14f5)

### [How Do LLMs Know Things Beyond Their Training? An Introduction to RAG](https://llmjourney.hashnode.dev/how-do-llms-know-things-beyond-their-training-an-introduction-to-rag?utm_source=hashnode&utm_medium=feed)

In this blog we discuss how LLM know what happen yesterday although LLM are trained over past data ?, An Introduction to RAG, Where it fails?

7 min read · [llmjourney.hashnode.dev](https://llmjourney.hashnode.dev/how-do-llms-know-things-beyond-their-training-an-introduction-to-rag?utm_source=hashnode&utm_medium=feed)

[Vraj Soni](https://hashnode.com/@-VrajSoni) · [Jul 10](https://hashnode.com/posts/understanding-rag-why-it-exists-how-it-works-and-where-it-falls-short/6a513f576b64565f9e994a28)

### [Understanding RAG : Why it Exists, How It Works, and Where It Falls Short](https://blog.sonivraj.com/understanding-rag-why-it-exists-how-it-works-and-where-it-falls-short?utm_source=hashnode&utm_medium=feed)

Large Language Model (LLM) are impressive but they have fundamental limitations like they only know on what they are trained on. Ask a LLM about what happened after its training cut-off , or about com

5 min read · [blog.sonivraj.com](https://blog.sonivraj.com/understanding-rag-why-it-exists-how-it-works-and-where-it-falls-short?utm_source=hashnode&utm_medium=feed)

[Vibhu Khati](https://hashnode.com/@vibhu7) · [Jul 9](https://hashnode.com/posts/understanding-rag/6a4fd4f7a41ac294526e64e2)

### [RAG(Retrieval-Augmented Generation): The Good, the Bad, and the Hallucinations](https://linuxhunting.hashnode.dev/understanding-rag?utm_source=hashnode&utm_medium=feed)

Understanding RAG: How It Improves LLM Answers—and Where It Can Still Fail Large Language Models (LLMs) such as ChatGPT can answer questions, write code, summarize documents, and generate content in s

14 min read · [linuxhunting.hashnode.dev](https://linuxhunting.hashnode.dev/understanding-rag?utm_source=hashnode&utm_medium=feed)
