Hello Weaviate friends, 🤗

Welcome to this week's edition of the Weaviate Newsletter! Get ready for lots of in-person events with news, tutorials, demos, and other exciting highlights we can't wait to share with you. End the year with Weaviate and prep for what’s coming in AI and Machine Learning.

Let's go!

Weaviate World Tour: End of Year Special

Join us for the Weaviate World Tour: End of Year Special! And celebrate the year's successes in a festive atmosphere with other community members, amazing tech experts, friends, and the Weaviate community.

Scheduled events:

• Dec 8th - Paris: Event Details

• Dec 12th - San Francisco: Event Details

• Dec 12th - London: Event Details

• Dec 14th - Amsterdam: Event Details

Stay connected with us on social media for updates and behind-the-scenes glimpses. Remember to check out the provided links for all the details on how to sign up. We can't wait to meet you!

🚀 Special thanks to our friends at AICamp and Orkes for making this possible ✨

Vector Data Tips, Tricks, and Tech

How-To

• ✍️ Achieve Zero-Downtime Upgrades with Weaviate’s Multi-Node Setup by JP Hwang and Etienne Dilocker

  • Learn about high-availability setups with Weaviate, which can allow upgrades and other maintenance with zero downtime.

• ✍️ Multimodal Retrieval Augmented Generation(RAG) by Zain Hasan

  • A picture is worth a thousand words, so why just stop at retrieving textual context!? Learn how to perform multimodal RAG!

• ✍️ Recreating Andrej Karpathy’s Weekend Project — a Movie Search Engine by Leonie Monigatti

  • Building a movie recommender system with OpenAI embeddings and a vector database

• ✍️ Retrieval-Augmented Generation (RAG): From Theory to LangChain Implementation by Leonie Monigatti

  • From the theory of the original academic paper to its Python implementation with OpenAI, Weaviate, and LangChain

• ✍️ Recreating Amazon’s New Generative AI Feature: Product Review Summaries by Leonie Monigatti

  • How to generate summaries from data in your Weaviate vector database with an OpenAI LLM in Python using a concept called “Generative Feedback Loops”

• ✍️ Improving Retrieval Performance in RAG Pipelines with Hybrid Search by Leonie Monigatti

  • How to find more relevant search results by combining traditional keyword-based search with modern vector search

• 📽️ Let's Use AI to Create Data by Adam Chan

  • This video demonstrates using a Jupyter Notebook and the OpenAI Chat Completions API to generate simulated hotel JSON objects. It involves creating vector embeddings for hotel data using Weaviate and integrating RAG for generating emails tailored to specific search terms within Weaviate.

Upcoming Events

Webinars

How to build an AI-Native Foundation for Enterprise Apps AI is in high demand, but how can you tell when your business is ready to take it on? When it’s time to incorporate AI into your workflows, building performant, secure and accurate applications can get complicated. Join Byron Voorbach from Weaviate and Travis Rehl from Innovative Solutions to explore what’s possible with AI apps and learn how to build the right foundation for fast, secure and scalable applications that delight your users.

Tuesday, January 9th, 2024: Event Details

Online Weaviate Workshops

• Intro to Weaviate workshop

  In this introductory session, you will learn all about the advantages of vector databases, be guided through the process of creating a personalized vector database using Weaviate, and illustrate the practical application of Weaviate with real data.

  • Dec 13th: Event Details

  • Dec 19th: Event Details

  • Jan 10th: Event Details

• (NEW!) Intermediate Workshop: Python Client V4

  In this session, discover the enhancements in the new Python client, including the introduced changes, the reasons driving them, elements that have remained consistentstent, alterations beneath the surface, and the anticipated benefits for your code and overall experience.

  • Dec 15: Event Details

Weaviate Air

Dec 13th at 11:00 AM EST/5:00 PM CET

💡Weaviate Air is Weaviate's live discussion and knowledge panel!

We’ll be covering the following topics:

• Weaviate v1.23 Updates

• Forum FAQs

• Weaviate Multimodal RAG

• generative-any scale Demo

• LinkedIn Course: Intro to AI Native Vector Databases Releasing Soon!

• Guest Appearance from Hackathon Attendees

Newest AI & Data Technology Developments

Podcasts

• 🎙 RAGAS with Jithin James, Shahul Es, and Erika Cardenas - Weaviate Podcast #77

  • Jithin James, Shahul ES, and Erika Cardenas discuss RAGAS, a Retrieval-Augmented Generation startup, on the Weaviate Podcast. They explore the RAGAS score, using LLMs to eliminate manual labeling, and discuss optimization strategies for RAG application builders and future directions.

• 🎙 Rudy Lai on Tactic Generate - Weaviate Podcast #78

  • Rudy Lai, CEO of Tactic Generate, talks about their innovative user experience, using LLMs on multiple documents. The conversation delves into leveraging new LLM and Vector Database tech for AI products, inviting questions and discussions.

💡 Did you know that Weaviate's podcast with Connor is not only available on YouTube, but you can also listen to it on Spotify and Apple Podcasts? Join us there for some great content! See you there!

Team updates

Join us and be part of the future of search

At Weaviate, we are committed to our values, which are the foundation of our company. They guide our decisions in better ways for our people, business, and future. If you share our passion for innovation and excellence, join our vibrant team as we're currently hiring for the role of Client-Focused Site Reliability Engineer (US-based).

Apply now! Let's build the future together! 🚀

Metablog

Stories from the faces of Weaviate

• ✍️ From Sunday night blues to Monday morning cheers - The magic of company culture by Jessie de Groot

  • How do you explain culture? How do you put a feeling into words...

Welcoming new faces

• Meet Tony, our new Business Development Director

• Meet Jerónimo Irazábal, joining us as a Software Engineer specializing in search

Thank you for reading

Do you have any questions about Weaviate, vector databases, documentation, or other topics? Feel free to explore the Weaviate Forum, where you can engage in community conversations. Looking forward to your participation over the next two weeks!

Until the next one,

Femke