Hello Weaviate Community, 🤗

Summer is heating up, and so is the AI landscape! 🥵 This week, we're introducing a new Weaviate Release with exciting features, including MUVERA for multi-vector embeddings and efficiency improvements through BM25 keyword search operators and HNSW snapshotting. We're also returning with hands-on workshops about Agentic RAG, Database Workflows, and Weaviate Agents.

Weaviate 1.31 Release

⭐ Release Feature Highlights ⭐

• MUVERA for multi-vector embeddings

• New BM25 keyword search operators

• Add new vectors to existing collections

• HNSW snapshotting

• More model integrations

• A HUGE list of performance improvements

• Community contributions

✍️ Read the release blog post

Latest AI & tech insights

Explore our recent Weaviate content:

Read

• ✍️ More efficient multi-vector embeddings with MUVERA: Weaviate 1.31 implements the MUVERA encoding algorithm for multi-vector embeddings. In this blog, we dive the algorithm in detail, including what MUVERA is, how it works, and whether it makes sense for you. Read the blog

• ✍️ The State of Enterprise AI in 2025: Measured Progress Over Hype: What trends we see arise in enterprise AI in 2025. Read the blog

Watch

• 🎙 MUVERA with Rajesh Jayaram and Roberto Esposito - Weaviate Podcast #123: Rajesh Jayaram (Google) and Roberto Esposito (Weaviate) reveal how MUVERA makes multi-vector retrieval efficient and scalable through smart compression, embedding, and encoding techniques. Watch the full podcast

• 📽️ Generic Search is Dead: Personalize Your Search with the Personalization Agent. Watch the video

• 📺 60-second explainers on key concepts:

  • AI Agents vs Agentic AI

  • Strong Platonic Representation Hypothesis

Product highlights

Check out our latest product updates. Or follow along in the #announcement channel in the Weaviate Community Slack.

• ✍️ Weaviate Core v1.30.7 release Release notes

  → Cost-Aware Sort: Query Planner & Inverted-Index Sorter Improvement

  → Schema V2 Raft Fixes

Upcoming events

Join us online or in person for expert-led AI workshops and networking events. Connect, learn, and build with the community!

Online

• 📚 Agentic Database Workflows with Weaviate Agents | June 10th Register here

• 🏢 Weaviate Office Hours + Free Q&A | June 11th Register here

• 🛠️ TECH Hands-On: Weaviate Query Agent [JS Edition] | June 17th Register here

• 🏢 Weaviate Office Hours + Free Q&A | June 18th Register here

• ⚙️ Work with Vectors at Scale | June 19th Register here

In-person

• 🧱 Weaviate at Databricks Data + AI Summit | Booth D109 | June 9th Register here

• 🌉 San Francisco | AWS AI Hack Day Micro Conference | June 17th Save your spot

• 🌃 San Francisco | AI Hack Night at Github | June 19th Save your spot

Partner Updates

Databricks

Our partnership with Databricks enables users to build sophisticated AI applications directly from Weaviate using the Spark Connector and Databricks’ Foundation Model APIs.

Team Weaviate is excited to attend the Data and AI Summit next week in San Francisco!

Join us at Booth D109 to learn more about our partnership with Databricks and our integration.

New Recipes

• Cleanlab

  • Build trustworthy RAG applications using Weaviate and Cleanlab to mitigate hallucinated/incorrect responses.

  • Notebook

• AIMon

  • Build a RAG chatbot and improve the relevance with AIMon's reranker model.

  • Notebook

• Patronus

  • Evaluate the Weaviate Query Agent to check for hallucinations by connecting the returned sources to Lynx.

  • Notebook

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.

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

Weaviate is open source ➡️ Check our GitHub and star us while you're there. ⭐

See you in two weeks,

Femke