Context Engineering for AI Agents, Pyversity, Multi2Vec CLIP

Hello Weaviate Community! 🤗

Over a month ago, we released our Context Engineering Guide, and now we are diving even deeper into the topic with a new blog! Learn more about The Six Pillars of Context Engineering and go through a complete real-world agent build using Elysia.

Latest AI & tech insights

Explore our recent Weaviate content:

Read

• ✍️ Context Engineering for AI Agents: Our latest blog teaches you everything you need to know about Context Engineering for AI agents and the six pillars that make it work. Read the blog

• 🧠 Evo-Memory: Danny breaks down AI agent memory in his post about a new paper from Google DeepMind and UIUC. Learn more

• 🔖 Booking.com GenAI Agent: Victoria dives into Booking.com’s technical blog on their production GenAI Agent processing tens of thousands of messages daily. Read more

Watch

• 🎙 Pyversity with Thomas van Dongen: In this episode of the Weaviate Podcast, Thomas van Dongen, head of AI engineering at Springer Nature, discusses his Python library: Pyversity, a fast, lightweight library for diversifying retrieval results. Watch the full podcast

Product highlights

Check out our latest product updates.

• 📎 Weaviate Multi2Vec CLIP inference container 1.5.0: Weaviate’s inference container now supports MetaClip2 and ModernVBERT models. You can now also run it on NVIDIA Jetson devices configured with JetPack 6 SDK, such as NVIDIA Jetson AGX Orin or Orin Nano. Learn more

• 📱 Weaviate Java Client v6: We've shipped a ground-up redesign that transforms how Java developers interact with Weaviate. Try it now

Integration Ecosystem

Explore our Integration Ecosystem page to see how Weaviate connects to cloud providers, data platforms, developer tools, and more!

Hungry for more?

Have a question or want to connect? Say hi in the Community Slack or join our Weaviate Forum to engage in community conversations.

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See you in two weeks,

Kamil