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Inside Weaviate's MCP Ecosystem, Agent Memory with Engram and 4-bit Rotational Quantization

Hello Weaviate Community! 🤗

Curious how Weaviate's MCP ecosystem fits together? Our upcoming webinar takes a closer look, and we'd love to see you there. This edition also includes a practical guide to configuring Engram memory, the engineering behind 4-bit rotational quantization, and new podcast conversations about human behavior modeling and an AI-native insurance brokerage.

Latest AI & tech insights

Explore our recent Weaviate content:

Read

  • ✍️ Agent Memory with Engram: A Practical Guide: Learn how topic descriptions control memory extraction, when to use bounded topics and scopes, how to select a retrieval mode, and where to place memories without hurting prompt-cache efficiency. Read the blog

  • 🔖 4-bit Rotational Quantization: See how SIMD improvements accelerate rotations, encoding, and distance calculations in Weaviate 1.39. The post also examines scaling behavior, compares RQ with TurboQuant, and shows how 4-bit RQ provides similar recall with a 45% heap reduction. Read the blog

Watch

  • 🎙 humans& with Alexis Ross, Manya Bansal, and Niloofar Mireshghallah - Weaviate Podcast #145: The humans& team introduces Persimmon, a research-preview user model for simulating human behavior in multi-turn, multi-party conversations. They discuss distribution matching, reward hacking, and a multi-turn Turing test where Persimmon reaches roughly 20% against a 50% ceiling. Watch the full podcast

  • 🎙 Delegance Brokerage with Alex Ledbetter - Weaviate Podcast #144: Alex Ledbetter explains how he built an AI-native commercial insurance brokerage that processes binders approaching 1,000 pages, vectorizes documents in Weaviate, and uses three million carrier appetite rules to route clients. Watch the full podcast

🎧 Tune into the Weaviate podcast on YouTube, Spotify, or Apple Podcasts.

Product highlights

Check out our latest product updates.

  • 4-bit rotational quantization: Reduce vector heap usage by 45% while maintaining recall similar to 8-bit RQ.

  • Faster SIMD operations: SIMD support speeds up Fast Walsh-Hadamard Transforms by up to 6.1x, while updated encoding and distance kernels also improve 8-bit RQ performance.

  • 4-bit RQ is now available for HNSW collections on Weaviate Cloud.

Read the technical deep dive for the benchmarks and scaling analysis.

💚 Ready to start building?

Spin up a free cluster on Weaviate Cloud in a couple of minutes and try Query Agent.

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.

  • 🎫 Inside Weaviate's MCP Ecosystem | October 14: Join the webinar for a closer look at Weaviate's MCP ecosystem. In this webinar, we’ll explore why MCP matters and demonstrate two MCP servers in the Weaviate ecosystem: Weaviate Database and Weaviate Query Agent MCP. Register here

Hungry for more?

Have a question or want to connect? Join our Weaviate Forum to engage in community conversations.

Follow our Blog, LinkedIn, Twitter, and YouTube for more content updates.

See you next month,

Shan