?? DATA Pill #125 - Exposing dbt models in Looker, RAG with Postgres
Hi,
This week, we're covering how to expose data models in Looker, build RAG systems with Postgres, and, at the latest, Kafka's evolving role. Check out must-read articles, tutorials, and a new PyGlove-powered tool for LLMs!
Let’s jump right in!
ARTICLES
Beyond the numbers: how a solid business case drives analytics | 8 min | Data Analytics Strategy | Iris Snuverink | Xebia Blog
Analytics projects need more than just data—they need a strong business case. Iris breaks down how to balance costs and benefits, structure your approach, and track the business impact from start to finish.
Kafka Has Reached a Turning Point | 7 min | Real-Time Analytics | Yingjun Wu | Personal Blog
After this year’s Current 2024 conference, the future of Kafka seems to be in flux. Yingjun explores how AI and evolving data streaming technologies influence Kafka’s role in the real-time analytics world.
TUTORIALS
Building RAG with Postgres | 4 min | RAG | Eric Zakariasson | Any Blockers Blog
Learn how to build a robust RAG system with Postgres. Eric walks through every step—setting up data pipelines to optimizing retrieval for high-performance AI-driven responses.
In MORE LINKS you will read:
DATA LIBRARY
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation | RAG | Satyapriya Krishna,? Kalpesh Krishna, Anhad Mohananey,? Steven Schwarcz, Adam Stambler, Shyam Upadhyay, Manaal Faruqui?
This paper introduces FRAMES, a dataset designed to assess the performance of LLMs in retrieval-augmented systems. The team evaluates factual accuracy, retrieval efficiency, and reasoning abilities, making it a must-read for those building cutting-edge RAG solutions.
TOOL
Langfun | LLM
Langfun makes working with language models feel like a breeze. Powered by PyGlove, it treats language as functions and allows object-oriented prompting—offering more control over how you interact with LLMs. Worth checking out for those working on LLM-powered applications!
领英推荐
PODCAST
GraphRAG (beyond the hype) | 55 min | RAG | Chris Benson, Daniel Whitenack, Prashanth Rao | Practical AI Podcast
Curious about GraphRAG and its practical use cases? Prashanth Rao joins the show to break down GraphRAG and what it means for the future of graph data. If you’re hearing a lot of buzz around this topic, this episode is a great place to cut through the hype.
DATA TUBE
?| 23 min | DevOps | Jacek Marmuszewski | Infoshare
How they managed to store over 500TB of audit data, with a cost under 500/mo and a fast response time, no matter how big the query time range is.?
This is the unique journey of locating, classifying, and effectively storing 0.5PB of customer data. A distinctive setup leveraging Google BigQuery technology enabled the support & compliance team to execute complex queries against the entire dataset with a remarkable response time of 11s.?
BTW as a community partner, we have a discount for Infoshare DEV; there will be more presentations like this. Buy discounted tickets here .
In MORE LINKS you will watch:
CONFS, EVENTS AND MEETUPS
AWS User Group 3city Meetup #9: Gdynia meets GenAI | Gdynia/Online | 17th October?
Whether you're in Gdynia or tuning in online, this AWS User Group event will not be noticed! Connect with professionals, sharpen your skills, and learn about the latest GenAI developments.?
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Adam from the GetInData | Part of Xebia
Senior Analytics Engineer at Bolt
1 个月Thank you for sharing my work!
Founder and CEO, Podcast co-host
1 个月Thanks for sharing!