Please join us in welcoming these awesome new joiners today! Faustas Butkus - Software Engineer 🧑‍💻 Tobias Christiani - Research Engineer ⌨️ Jacob Heier - Enterprise Account Executive 📈 Kamil Tyborowski - Software Engineer 🧑‍💻 We're so excited to have you on the team! #teamweaviate

Please join us in welcoming three new joiners this week! 🙌 Danielle Washington - Technical Documentation Writer ⌨️ Giorgos Kampitakis - Full Stack Engineer 👨‍💻 Mary Ann Casugod - Product Support Engineer 👩‍💻 Welcome to the team! 💫 #teamweaviate #newjoiners #techjobs

We've hit an exciting milestone at Weaviate: the 100 people mark! 🥳 As a fully remote company, our teams span the globe, and it's incredible to see talented people from all corners of the world unite behind our mission. ✨ Check out our open positions at https://weaviate.io/company/careers

Welcome to these new joiners that start today! Austin Freels - Director of Customer Success Engineering 👥 Madison Sanders - Enterprise Account Executive 📈 Elisa Seay - Enterprise Account Executive 📈 Nathaniel Ma - Enterprise Account Executive 📈 We're so excited to have you on the team!

👉 Get started here: cloud.google.com/vertex-ai/ge... 📗 Notebook: github.com/GoogleCloudP... 💡 Soon, many more examples!

Exciting News 🚨 Weaviate is spotlighted in Google’s 5-Day GenAI Intensive course hosted by Kaggle! Explore the whitepaper ‘Embeddings & Vector Stores’ by Anant Nawalgaria & Xiaoqi Ren. Read the full paper here: https://www.kaggle.com/whitepaper-embeddings-and-vector-stores

Start your year off with something new✨ Combine @inngest.com's workflow engine with Weaviate's vector search capabilities and create powerful agentic applications that practically run themselves! A big step up for anyone working with large-scale RAG systems. Check out the blog! lnkd.in/gSW-xHVf

We're so excited to welcome this awesome group of people to the team this week! 🎉 Dyma - Software Engineer Client Libraries Ivan - Technical Documentation Writer Brendan - Enterprise Account Executive Aaron - Enterprise Account Executive Sean - Business Development Representative

You can only improve what you measure. But how do you measure the performance of a RAG pipeline? To best identify areas of improvement, it is beneficial to evaluate your RAG pipeline component-wise 🔽 Read more on our blog: https://weaviate.io/blog/rag-evaluation

Matryoshka Representation Learning (MRL) is a hierarchical representation learning technique that allows for flexible dimensionality in vector representations by making a key change to the loss function.

Happy New Year from everyone here at Weaviate! 🎉 Thank you all for another year full of innovation, community, and great memories. We appreciate each and every one of you, and cannot wait to see what is in store for 2025! Cheers to another trip around the sun!! 💚🥂

The top Weaviate video of 2024 was.. 🥁 Open Source RAG with Ollama! Since the video was published, our open source RAG demo, Verba, has had even more updates, features, and tutorials published. You can try it out here: https://verba.weaviate.io Video: https://www.youtube.com/watch?v=swKKRdLBhas

What does the future of AI look like in 2025? We can’t wait to find out! Attendees of the Berlin AI Hack Night gave some insightful responses on how they think AI will improve in 2025, and what excites them most about it. Join our upcoming events here: https://lu.ma/weaviatecommunityevents

What a year it has been for Weaviate and the AI ecosystem! Building AI-Native applications requires a variety of tools. We’ve clustered our technology partners into six categories: 1. Cloud hyperscalers 2. Model providers 3. Data platforms 4. Compute infrastructure 5. LLM frameworks 6. Operations

2024 was a massive year for Weaviate and the AI community! 🚀 Our global roadshow showcased real-world applications of vector databases, driving innovation across industries. Relive the action: https://buff.ly/4gKsWaF There’s more to come in 2025. Keep an eye out for Weaviate in a city near you!

Looking for the most influential AI blogs from this year? Here's our curated list 📝 (Save for later)

❄️ Happy Holidays from Weaviate! Whatever you’re celebrating, may it be filled with peace, joy (and maybe a little snow).

As we wrap up 2024, we want to thank our incredible Weaviate Community for making this year so special! Join us on a journey through this year's highlights and discover why our community continues to inspire us every day.

Is your database built for scale and production? Weaviate 1.28 is here, bringing major improvements for production-grade deployments.

To 'horizontal scale' or not to 'horizontal scale'? Shakespeare would have his answer today! Scale your Weaviate for: • Handling bigger datasets • Higher query throughput • Rock-solid high availability Learn more: https://buff.ly/4itdv80

日本語テキストのハイブリッド検索を最適化する新しいトークナイザー「KAGOME_JA」をご紹介！ ハイブリッド検索結果のパフォーマンスは、トークナイザーの選択に大きく影響します。「KAGOME_JA」は日本語特有の構造に最適化されており、その効果をブログで詳しく解説しました！ 詳しくはこちら https://weaviate.io/blog/hybrid-search-ja

Struggling to keep up with new RAG variants? Here’s a cheat sheet of 7 of the most popular RAG architectures. Which variants did we miss?

Weaviate 1.28 is around the corner! 🥳 Join us for a preview session to learn about the upcoming features and how to use them. In this session, we will cover: • Role Based Access Control (RBAC) Preview • New Weaviate Embeddings And many other cool new things. Join us: https://buff.ly/41vgpmF

🌟 Join us in giving a warm welcome to our newest team member! 🎉 Danielle Nugent - Talent Acquisition Manager 👥 We're thrilled to have you onboard and can't wait to see all the amazing contributions you'll bring to our team. #newhire #teamweaviate #techjobs

We're very excited to have an amazing new member join the team today! 🔥 Damien Gasparina - Enterprise Solution Engineer ⌨️ Welcome to Weaviate! 👋 #weaviate #techjobs #teamweaviate

🤔 A language learning app that actually adapts to how you learn? Meet Wealingo, our innovative demo app that's changing how we think about personalized language learning. See it live at AWS re:Invent 2024!

Why would you want to use Agentic RAG instead of 'normal' RAG? Agentic RAG is, in contrast to normal RAG, using agents to make a decision on what to do, instead of following a pre-defined pipeline. Find out more: weaviate.io/blog/what-is...

🇯🇵日本初のWeaviateミートアップのお知らせ🇯🇵 本イベントでは、Weaviateの特徴や活用事例を学び、Weaviate CEO @bobvanluijt.bsky.socialとグローバル パートナーシップ責任者 @jobig630.bsky.social やWeaviate Kagome コントリビューター Jun Ohtaniと交流できる場を提供します。 マルチモーダル検索や検索拡張世代（RAG）によるAIのユースケースのお話楽しみにしてます。

Headed to AWS re:Invent this year? Make sure to stop by booth #1506 to answer these urgent questions: 🕵🏻‍♂️ Can Professor S and his team use the latest AI tech to stop a string of international art heists? Grab a copy of The Vector Vault to find out!

Over the past eighteen months, we’ve worked with at AWS to build and establish our partnership 🤝 In our latest blog post, at @jobig630.bsky.social and Tony discuss how we’ve adopted the co-build, co-market, and co-sell model. Read the blog post: weaviate.io/blog/aws-and-weaviate

25x faster filtered search in v1.27? 🤯 Weaviate’s new ACORN strategy revolutionizes filtered search! It handles high-selectivity filters and negatively correlated queries with incredible speed. 📹 @jphwang.bsky.social

What do Hack Nights with Weaviate look like? Join us in Berlin on December 12 to see for yourself: lu.ma/hacknight-be...

Vanilla RAG is a straightforward pipeline: retrieve, augment, and then generate. But, agentic RAG? It's the strategist — planning steps, reasoning, and fetching exactly what's needed, even from the web or multiple tools!