RAG Projects | Experience Required for Building Internal Document Search and Response Systems

The term "RAG" has become common in the requirements for generative AI projects. RAG (Retrieval-Augmented Generation) is a ...

RAG cannot be trusted just because it 'found the document.' I created a Japanese test collection to try out old documents and exceptions

AI finds documents and answers questions for you.When building RAG, isn't the first moment of joy when the AI answers using the documents you prepared yourself?However, as the number of documents ...
Unite.AI

What Is Chunking in RAG? How Document Splitting Shapes Answer Quality

Chunking divides source material into retrievable units whose boundaries and metadata strongly influence what evidence a RAG ...
HackerNoon

Why Your Rag Assistant Is Giving an Incorrect Answer Even Though It Found the Correct Document

A RAG assistant can retrieve the right document and still give the wrong answer. Explore common RAG failures involving ...
HackerNoon

RAG vs LLM Fine-Tuning: Choosing the Right Approach for Enterprise AI

Compare RAG vs LLM fine-tuning for enterprise AI. Learn their differences, benefits, use cases, costs, and how to choose the ...
GitHub

GitHub - Atlas-ghostshell/The-Top-K-Safety-Net: A RAG pipeline that ranked the wrong document first and got away with it — plus the OWASP LLM Top 10 threat model that ...

A RAG pipeline that ranked the wrong document first and got away with it — plus the OWASP LLM Top 10 threat model that explains exactly why it will not always. - Atlas-ghostshell/The-Top-K-Safety-Net ...
Analytics Insight

Agentic RAG Vs Standard RAG: Which Retrieval Approach Works Best?

Overview: Standard RAG retrieves information through predefined workflows to generate context-based answers efficiently.Agentic RAG uses AI agents for complex s ...
GitHub

AgenticAI-Labs

This repository is a collection of practical implementations and learning examples focused on Agentic AI, Large Language Models (LLMs), and AI application development using Node.js and JavaScript. The ...
JD Supra

Stepping Up to the Plate: AI Hallucinations and the Lawyer’s Ethical Duty to Verify

There’s a simple reason that state bars and courts continue to issue proposals for new or changed rules related to the use of ...
Legal IT Insider

The October Orange Rag Is Here!

You could be forgiven for looking at some of the numbers in legal AI this month and wondering whether we have collectively lost the plot. Legora has ...
Fintech Finance

Armundia Group CIO: How Banks Can Secure Customer Data While Using External LLMs

Discover how external LLMs can be used safely in banking. Armundia Group CIO explains how anonymisation and RAG architecture protect sensitive data. Read more.

VAIA study finds 94% of game studios using AI in production

AI use is close to universal in PC and console game development, but most studios are still only using it at the edges of ...