🤗 Hi there, Weaviate friends!
🙋♀️ My name is Femke, and I am excited to write this week’s newsletter. 🗞️
👥 I am taking care of community management and am here to help build strong relations with the Weaviate community.
I look forward to helping maintain a community where we can support each other in achieving our goals with Weaviate. We need to do this (not only) for but as much as with the Weaviate community.
🔔 In this newsletter, I’ll share the latest updates of the last two weeks, upcoming events, and all other exciting things happening at Weaviate.
🚀 So, without further ado, let’s dive into the latest updates! Happy reading! 🙂
This week, we launched the New version of Weaviate Cloud Services
A completely redesigned management console for Weaviate Cloud Services (WCS). WCS is the SaaS solution of Weaviate, offering managed Weaviate instances on the cloud. ☁️
📣 So, what’s new?
Create fully managed Weaviate clusters with minimal input
We create dedicated clusters for you that are ready out-of-the-box
The console allows direct interaction with the cluster
Currently, we support the Google Cloud Platform and a wide selection of regions
Azure and AWS are coming soon
Choose from 3 different SLA tiers depending on your needs
Clusters may be set up as highly available
Additionally, create 14-day trial sandboxes
Registration and sandbox creation are free, and everyone can sign up!
Check out the new WCS at https://console.weaviate.cloud
Dedicated WCS documentation: https://weaviate.io/developers/wcs
🗣 For any questions regarding the new updates, feel free to drop your questions in our Community Slack channel.👇
If you have not read Abdel’s part 1 on Vamana vs. HNSW - Exploring ANN algorithms (Part 1) we strongly recommend checking this out before diving into the following blogs. 😉
This was the first step in our quest for our new disk-based, low-cost, hyper-scale vector-search index.
✍️ Read HNSW+PQ - Exploring ANN algorithms Part 2.1 by Abdel, – Learn about implementing HNSW + Product Quantization (PQ) vector compression in Weaviate.
✍️ Read The Tile Encoder - Exploring ANN algorithms Part 2.2 by Abdel – Learn about using the Weaviate Tile Encoder to compress vectors with Product Quantization.
✍️ Read How GPT4.0 and other Large Language Models Work by Zain – A gentle introduction to Large Language Models (LLMs) - how they work and what they learn.
Other exciting news
Weaviate introduces Webinar workshops!
🧑💻 Weaviate’s first(!) webinar workshop with JP, “Introduction to Weaviate,” is scheduled for the 4th of April at 1-2 pm CET.
💬 We aim to cover the following:
How AI language models "understand" text.
What is a vector database?
How a vector database can help you scale AI models.
A hands-on demo with Python, including:
Performing vector searches.
Using Weaviate's generative search to go beyond data retrieval with GPT-3.
Creating your own vector database on the cloud.
🙋 This will be an interactive workshop where you get to try out Weaviate and ask questions as we go.
🙏 We want to make these initial sessions intimate and interactive, so places are limited. Unfortunately, the maximum signup number has been reached for this workshop. However, we would like you to join us during our next workshop!
Did you not get the chance to sign up for our first workshop? No worries!
🚀 We plan to organize more workshops to share knowledge, answer questions and connect!
💬 To ensure the workshops are helpful, we ask you to complete a survey to give input on topics, format, and preferred times.
🙋 Complete the survey and sign up now to stay up to date for future workshops.👇
for reading the newsletter till the end. 🗞️
I hope your start of spring is as fresh as ours! ☀️
It was nice to (virtually) meet you and see you in two weeks.