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- DSPy + Weaviate for the Next Generation of LLM Apps, Roadshow, Office Hours, and more
DSPy + Weaviate for the Next Generation of LLM Apps, Roadshow, Office Hours, and more
Hello Weaviate Community, π€
Our goal is to help you quickly, securely, and easily develop AI applications. To simplify your learning process, we've introduced 'Office Hours' - a series of interactive events accessible online to everyone! Find the details in this newsletter, plus, we plan to share the latest Weaviate news, tutorials, podcast highlights, and many more exciting updates! Letβs get right in, and we hope to see you soon!
Kicking off the Weaviate Roadshow
Join us in San Francisco on March 21st to discover how enterprises are taking generative AI from prototype to production. Come for the tech talks, stay for the hands-on training.
Why attend?
β’ Playbooks from the field: Hear how developers and engineering leaders are approaching AI use cases like multimodal search and retrieval augmented generation (RAG) in production.
β’ The latest from Weaviate: Learn how the open source vector database reduces the complexity of building and scaling AI applications. Hear what's new and best practices from the team that built it.
β’ Free hands-on training: Explore the Weaviate platform and learn how to build AI-native applications from the ground up. Level up your skills with the latest vector search and RAG techniques.
Space is limited, register today!
AI data tips, tricks, and tech
How-to
βοΈ gRPC-Driven Performance Improvements in Weaviate by Dirk Kulawiak, JP Hwang, and Leonie Montigatti
Learn how gRPC improves import and query speeds in Weaviate
π₯ DSPy + Weaviate for the Next Generation of LLM Apps by Erika Cardenas
Using DSPy and Weaviate to build the next generation of LLM applications! We'll build a demo that takes a query as input and generates an entire blog post about it. This video shows you how to build a 4-layer DSPy program and optimize it with the teleprompter.
Newest AI & data technology developments
Podcasts
π Matryoshka Embeddings with Aditya Kusupati, Zach Nussbaum, and Zain Hasan - Weaviate Podcast #89!
The Weaviate Podcast on Matryoshka Representation Learning explores the innovation and practical applications of Matryoshka embeddings, featuring insights from Aditya Kusupati, Zach Nussbaum, and Zain Hasan, discussing their development, challenges, and implications for Vector Search.
Listen to the Weaviate podcast on YouTube, Spotify, or Apple Podcasts. β¨π§
Upcoming Events
Weaviate Office Hours
Weaviate office hours are a great chance to meet different Weaviate experts to learn about a specific topic or get help with all your questions. Our office hours are live and not recorded!
Our first session
What: Multimodality, general Q+A
Experts of the week: Zain Hasan, Sebastian Witalec
Date: March 6th, 2024
Time: 10 am PT / 1 pm ET / 7 pm CET
RSVP: Register for our first session on March 6th
You are welcome to ask us anything - not just about Multimodality π€
For an enhanced hybrid experience, news, and async communication, please join #office-hours in our Community Slack
We look forward to seeing you soon! π€©
Webinars
Everything we do online starts with a search π
Learn how to give your users a better search experience by using the strengths of both keyword and vector search.
Join our upcoming webinar with Victoria and Sebastian to explore the benefits of hybrid search and how to implement it in your own application. Sign up here.
Online workshops
Wednesday, March 13th | Intro to Weaviate for JavaScript Developers with Daniel Phiri
Friday, March 15th | AI SaaS applications with Weaviate: Online Workshop with JP Hwang
Meetups
Wednesday, March 13th | AI Meetup London
Wednesday, March 13th | Build with AI in Berlin
Stay connected with us on social media for updates, behind-the-scenes glimpses, and maybe even a surprise or two. Get ready for an awesome tech-filled September.
Remember to check out the provided links for all the details on how to sign up. We can't wait to meet you!
Welcoming new faces
Ben Sabrin, Head of Sales
Thank you for reading
Do you have any questions about Weaviate, AI, learning materials, 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!
Weaviate is open source. Check out our GitHub repository, and don't forget to star us while you're there β
Till the next one,
Femke