a pile of towels in a forest with a trail sign that reads "RAG" --ar 5:3 --style raw

(RAG) Retrieval-Augmented Generation News: Week Ending 05/24/2024

May 24, 2024

a pile of towels in a forest with a trail sign that reads “RAG” –ar 5:3 –style raw

This week’s category cover theme is a sign in a forest. Each category image prompt is a derivative of the formula “an [category themed object] in a forest with a trail sign that reads “[category name]”. Using a theme each week takes the cover creation time down to about 20 minutes, rather than several hours.

“Build a Full-Stack Job Search Assistant with @gokoyeb, @MongoDB, and @llama_index 🧑‍💼🔎 This is a comprehensive end to end tutorial by @rishi_raj_jain_ on building a RAG-powered assistant that streams its response in real-time but can also continuously update its internal

Build a Full-Stack Job Search Assistant with @gokoyeb, @MongoDB, and @llama_index 🧑‍💼🔎

This is a comprehensive end to end tutorial by @rishi_raj_jain_ on building a RAG-powered assistant that streams its response in real-time but can also continuously update its internal… pic.twitter.com/US5vSd69TE
— LlamaIndex 🦙 (@llama_index) May 23, 2024

“The ServiceNow team implemented a Retrieval-Augmented Generation (RAG) approach, where a retriever suggests relevant steps and table names based on the user’s natural language input. These suggestions are then incorporated into the LLM prompt to guide the generation of the

The ServiceNow team implemented a Retrieval-Augmented Generation (RAG) approach, where a retriever suggests relevant steps and table names based on the user's natural language input. These suggestions are then incorporated into the LLM prompt to guide the generation of the… pic.twitter.com/n5ap8cKoQv
— Rohan Paul (@rohanpaul_ai) May 24, 2024

“Wow this is powerful. Grok is able to accurately give me the last closing price of a stock option, and correctly explain the reason for this price. Congrats @grok team, your RAG capabilities are very impressive and useful, Grok will be my exclusive personal assistant from now on

Wow this is powerful. Grok is able to accurately give me the last closing price of a stock option, and correctly explain the reason for this price.
Congrats @grok team, your RAG capabilities are very impressive and useful, Grok will be my exclusive personal assistant from now on… pic.twitter.com/hCO7Va8Wj4
— Julien Salinas (@JulienSalinasEN) May 22, 2024

“The Prompt Engineering Guide reached 4 million visitors! This is insane! Never imagined that this project would reach such a milestone in one year. We have added guides for advanced prompting techniques and topics like LLM-based agents and RAG. I have also started to record

The Prompt Engineering Guide reached 4 million visitors!

This is insane! Never imagined that this project would reach such a milestone in one year.

We have added guides for advanced prompting techniques and topics like LLM-based agents and RAG.

I have also started to record… pic.twitter.com/QkUICcrLhq
— elvis (@omarsar0) May 23, 2024

“There is my prediction on where RAG is headed. In this video i talk about – Shift from RAG as question-answering systems to report generation tools – Importance of well-designed templates and SOPs in driving business value (selling to people with money) – Room for AI-generated

There is my prediction on where RAG is headed. In this video i talk about

– Shift from RAG as question-answering systems to report generation tools
– Importance of well-designed templates and SOPs in driving business value (selling to people with money)
– Room for AI-generated… pic.twitter.com/A4B0aLAV6I
— jason liu (@jxnlco) May 24, 2024

“17/ @jxnlco Jason is an independent consultant that helps fast-growing startups build out RAG applications. He is the creator of Instructor, the wildly popular tool many use to extract structured data from LLMs.

17/ @jxnlco Jason is an independent consultant that helps fast-growing startups build out RAG applications. He is the creator of Instructor, the wildly popular tool many use to extract structured data from LLMs. https://t.co/w27C6DR8Ni

In his workshop, he will be teaching… pic.twitter.com/LPFr5vZkH3
— Hamel Husain (@HamelHusain) May 20, 2024

“🧠Cognita Cognita is an open source framework for building modular RAG applications It builds on top of LangChain’s low-level abstractions to provide a more opinionated and out-of-the box experience for RAG We love to see frameworks like this!

🧠Cognita

Cognita is an open source framework for building modular RAG applications

It builds on top of LangChain's low-level abstractions to provide a more opinionated and out-of-the box experience for RAG

We love to see frameworks like this!https://t.co/J3CfUL8ie1 pic.twitter.com/ibBsVUm1dD
— LangChain (@LangChainAI) May 19, 2024

“Why are leading technologists choosing Retrieval-Augmented Generation (RAG) systems for cutting-edge LLM solutions? RAG connects LLMs with real-world data, tackling challenges like hallucinations and rising costs. Explore the top 5 reasons enterprises are choosing RAG systems

Why are leading technologists choosing Retrieval-Augmented Generation (RAG) systems for cutting-edge LLM solutions?

RAG connects LLMs with real-world data, tackling challenges like hallucinations and rising costs. Explore the top 5 reasons enterprises are choosing RAG systems… pic.twitter.com/ejvCMw7maz
— cohere (@cohere) May 24, 2024

Heads up! You’ve scrolled to the end of this category. There may have been just one or two links (above), so go back up and double check to be sure you didn’t quickly scroll down past it.

Be Sure To Read This Week’s Main Post:

This week’s executive overview and top links are here:

AI News #34: Week Ending 05/24/2024 with Executive Summary and Top 47 Links

The post you just read is an deep dive extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.

Credits/Sources

Most of these weekly links come from just a few prolific oversharing sources. Please follow them, as they work hard to find the news each week and they make it a lot easier for me to compile.