This week we have some really exciting news waiting for us - let’s dive right in to what’s new with Weaviate 
WEAVIATE 1.29 is here!
Weaviate Core v1.29.0 release it’s finally here and the number of PR’s merged is just MASSIVE !!!
This release contains:
- RBAC
- Async Replication
- ACORN improvements
- ColBERT (or multi-valued vectors)
- Blazing Fast BM25 with BlockMax WAND
- and more!!!
Release notes: Release v1.29.0 - RBAC, Async Replication, ACORN improvements, ColBERT, Blazing Fast BM25 · weaviate/weaviate · GitHub
Also look at some key pages inside our docs, if you want to learn about each key feature:
- RBAC (GA): How-to configure, Tutorial
- Multi-vector embeddings (preview): Tutorial, JinaAI ColBERT vectorizer
- BlockMax WAND (preview): Concepts: Indexing, Env-vars
- Async replication (GA): Concepts, Env-vars
- NVIDIA modules: Vectorizer, Multimodal vectorizer, Generative
Or join our:
Weaviate 1.29 Release Highlights Session | 
March 5th | Register here
AI ECOSYSTEM
- New Agent/ Function Calling Leaderboard from Galileo evaluates various LLMs across 14 benchmarks. See the Leaderboard or Read the Blog
Hot of the Press: Zonos from ZyphraAI: A multilingual Text-to-Speech model with instant voice cloning GitHub - Zyphra/Zonos: Zonos-v0.1 is a leading open-weight text-to-speech model trained on more than 200k hours of varied multilingual speech, delivering expressiveness and quality on par with—or even surpassing—top TTS providers.- AI Action Summit in Paris - Watch the recording to see speeches of our world leaders https://www.youtube.com/watch?v=XN0UchHnWPI.
READS & LEARN & LISTEN
Contextual AI with Amanpreet Singh - Weaviate Podcast #114:
New Blog Posts
- The Future Speaks in Vectors - Why AI-native infrastructure is critical for agentic AI: Learn how traditional CRUD-based applications are giving way to agentic workflows with vector databases at their core.
- Agents Simplified: What we mean in the context of AI: What is an AI Agent? Learn how AI agents work, the benefits of using AI agents and more.
RAG with Weaviate and Anthropic’s Citations API: In this recipe, learn how to do RAG with Anthropic’s generative models, which cite the relevant parts of the retrieved documents. Follow along the code
Think Deepseek-R1 was trained like other top LLMs? Think again: Learn about the autonomous, self-evolution approach that was used to train Deepseek-R1. Watch the video
60-second explainers on key concepts:
Whats Coming Up
ONLINE
- Master Vector Embeddings with Weaviate with Data Science Dojo | Feb 19th | Register here
- Navigating the AI Database Landscape: Guidance from the Field | Feb 20th | Register here
- Online Workshop - RAG in ECommerce for JavaScript Developers | Feb 20th | Register here
Weaviate 1.29 Release Highlights Session | March 5th | Register here
IN PERSON
- Dallas Roadshow | Dallas, TX | Feb 27th. Save your spot
- AI Open Mic Night + Networking | Menlo Park, CA | Feb 18th. Save your spot
- Agentic AI Hack Night | San Francisco, CA | Feb 19th. Register here
- AI Leaders Chat & Network at Cloudflare | San Francisco, CA | Feb 28th. Request to join
if you like to get regular updates just follow us along on our #announcements channel in slack or subscribe to our Newsletter
Thank you and happy coding 