Enterprise Security, Multi-Vector Search, and Multimodal AI

Hello Weaviate Community! ☀️

This week, we're exploring how to secure enterprise AI deployments with robust access controls, diving into the next generation of search with Multi-Vector representations, and unlocking multimodal retrieval with Google's latest embedding model.

From hardening production systems to enabling agents that reason across text, images, and video, we've got fresh insights to power your AI stack.

Latest AI & tech insights

Explore our recent Weaviate content:

Read

• ✍️ Securing Enterprise AI with Weaviate: A complete guide on how to secure Weaviate enterprise deployments with OIDC, RBAC, and multi-tenant isolation. Read the blog

Watch

• 🎙 Multi-Vector Search with Amélie Chatelain and Antoine Chaffin: Dive deep into Late Interaction models, ColBERT, and the future of retrieval. They discuss training multi-vector models, efficient retrieval with MUVERA and PLAID, and their work on ColBERT-Zero and PyLate. Watch the full podcast

• 📽️ Google's New Multimodal Model - Gemini Embedding 2: Learn how to build a multimodal PDF RAG pipeline using Google's first fully multimodal embedding model, now available in Weaviate. Query with text and retrieve relevant videos, images, or documents, all using the same model. Watch the video

Product highlights

Check out our latest product updates.

• ⚙️ HFresh a new disk-based vector index: Weaviate 1.36 introduced the HFresh vector index inspired by the SPFresh algorithm ("SPFresh: Incremental In-Place Update for Billion-Scale Vector Search"). HFresh is available as a technical preview in Weaviate Cloud and open-source.

• ⏱️ Object TTL general availability: Object TTL is generally available in Weaviate 1.36. TTL allows you to set an expiration time for objects in a collection. Expired objects are automatically removed through a background deletion process, enabling data lifecycle management without manual cleanup. Learn how to configure it in our blog.

Hungry for more?

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See you in two weeks,

Kamil