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- The Free Context Engineering Guide, REFRAG, and Booking.com's GenAI Agent
The Free Context Engineering Guide, REFRAG, and Booking.com's GenAI Agent
Hello Weaviate Community! 🤗
We just released our Context Engineering eBook which breaks down how to build architectures that feed your LLM the right info at the right time. We’ve made Weaviate Cloud pricing simpler, too, so scaling feels effortless. And if you’re into RAG breakthroughs (which you most likely are), don’t miss the new REFRAG Weaviate Podcast episode - it’s a totally new take on how vectors power LLMs.
Latest AI & tech insights
Explore our recent Weaviate content:
Read
📕 Context Engineering Ebook: Every developer hits the same wall when building with LLMs: the model is brilliant but fundamentally disconnected. Our new ebook is the blueprint for building production-ready AI applications through 6 core components: Agents, Query Augmentation, Retrieval, Prompting Techniques, Memory, and Tools. Download the ebook
✍️ From Kitchen Experiments to Five-Star Service: What building AI apps with Weaviate and cooking have in common? Explore the Day 0, Day 1, and Day 2 developer journey. Read the blog
🗞️ Evals and Guardrails in Enterprise workflows (Part 3): How to build multi-agent systems that catch their own mistakes and self-correct in real time? Find out here
📰 Unleash Real-Time Agentic AI with Streaming Agents on Confluent Cloud and Weaviate: Event-driven agents that retrieve, reason, and act on both live and historical data. Powered by Confluent's new Streaming Agents and Weaviate. Learn more
Watch
🎙 REFRAG with Xiaoqiang Lin - Weaviate Podcast #130: What if RAG didn't throw away vectors after retrieval? REFRAG feeds them directly to the LLM and boosts overall throughput by 7x while also being able to handle much longer contexts! Watch the full podcast
📽️ AI Assistant for Cyclists: Meet BAIK | AI Engineer Spotlight: Born from a cycling accident in SF, BAIK uses a multi-agent AI architecture built with Crew AI and Weaviate to process real-time navigation, understand user preferences like “avoid hills,” and locate nearby bike-sharing stations, all through natural voice interactions, no phone needed! Watch the video
Featured In
Booking.com's GenAI Agent: Learn how Booking.com uses Weaviate as the vector database for its new generative AI agent, enabling fast semantic search for partner-guest messaging. See the architecture
AWS Blog: Weaviate was featured in the AWS Partner Network blog for our work in the Amazon SageMaker Startup Incubator, which helps bridge the gap between lakehouse data and AI-powered applications. Read the post
Weaviate and Box on Vector Embeddings: Bob van Luijt, CEO and Co-founder of Weaviate, joins Ben Kus, CTO at Box, to explore the power of vector embeddings in AI-driven search and data retrieval. Listen to the episode
🎧 Tune into the Weaviate podcast on YouTube, Spotify, or Apple Podcasts.
Product highlights
Check out our latest product updates. Or follow along in the #announcement channel in the Weaviate Community Slack.
✨ A Simpler, More Transparent Pricing Model for Weaviate Cloud: We're introducing a new pricing model built to be easier to understand, more flexible, and better aligned with how you use our platform. Key changes include: new names, clearer services, expanded pricing dimensions, flexible pay-as-you-go or annual commitments, and three new plans with highly available clusters. Read the full announcement
💚 Ready to start building? Jump right in and spin up your free Sandbox cluster with Weaviate Cloud. Or check our GitHub and star us while you're there. ⭐
Upcoming events
Join us online or in person for expert-led AI workshops and networking events. Connect, learn, and build with the community!
Online
🚀 Launching Agentic Workflows into Production: Tools and Strategies for Success | January 28. Join us to learn how CrewAI and Weaviate are helping organizations build reliable and scalable agentic applications. Register here
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.
See you in two weeks,
Prajjwal
