2026
- January 15 - Announcing the Weaviate C# Client
- January 27 - We are not your parents’ (and grandparents’) Database
- January 29 - Weaviate in 2025: Reliable Foundations for Agentic Systems
- February 4 - The Limit in the Loop
- February 18 - Weaviate Authentication & Authorization: A Complete Security Guide
- February 18 - Introducing Weaviate Agent Skills
- February 26 - Building A Legal RAG App in 36 Hours
- March 3 - Weaviate 1.36 Release
- March 19 - Securing Enterprise AI with Weaviate
- March 31 - Your Code is Your Schema: Weaviate Managed C# Client
- April 1 - Multimodal Embeddings and RAG: A Practical Guide
- April 2 - Oh Memories, Where'd You Go
- April 15 - Weaviate Shared Cloud now generally available on AWS
- April 21 - Engram: Memory by Weaviate
- April 23 - Weaviate 1.37 Release
- May 6 - Your LLM Is Only as Good as What It Retrieves
- May 14 - Text Analysis for Hybrid Search: Tokenization, Stopwords & Accent Folding
- May 21 - Build a Coding Assistant with Weaviate MCP: RAG over Code & Docs
- May 28 - Leveling up Weaviate Cloud security: Expanding role-based access control for Cloud console
- June 3 - Engram is now Generally Available
2025
- January 7 - Building Agentic Workflows with Inngest
- January 10 - Weaviate on Vertex AI RAG Engine: Building RAG Applications on Google Cloud
- January 16 - Building AI Search APIs with Hono.js
- January 21 - Introducing the Weaviate Trust Portal
- January 27 - Hybrid Search Explained
- January 30 - The Future Speaks in Vectors - Why AI-native infrastructure is critical for agentic AI
- February 13 - Agents Simplified: What we mean in the context of AI
- February 25 - Weaviate 1.29 Release
- February 25 - Accelerate Enterprise AI: 94% Faster Search, Simplified Embedding Creation, and Dedicated Azure Deployment
- February 26 - BlockMax WAND: How Weaviate Achieved 10x Faster Keyword Search
- March 4 - Welcome to the Next Era of Data and AI: Meet Weaviate Agents
- March 5 - Introducing the Weaviate Query Agent
- March 6 - What Are Agentic Workflows? Patterns, Memory, Use Cases, and Examples
- March 11 - Introducing the Weaviate Transformation Agent
- April 8 - Weaviate 1.30 Release
- April 9 - An Overview of Late Interaction Retrieval Models: ColBERT, ColPali, and ColQwen
- April 15 - Introducing the Weaviate Personalization Agent
- April 17 - Exploring RAG and GraphRAG: Understanding when and how to use both
- April 29 - Build Scalable Gen AI Data Pipelines with Weaviate and Databricks
- May 27 - The State of Enterprise AI in 2025: Measured Progress Over Hype
- June 3 - Weaviate 1.31 Release
- June 5 - More efficient multi-vector embeddings with MUVERA
- June 9 - Unleashing AI Factories: Weaviate and NVIDIA Turbocharge Vector Search with GPU Acceleration
- June 18 - The Art of Scaling a Vector Database like Weaviate
- June 26 - Secure AI for Healthcare: HIPAA-compliant vector search with Weaviate
- July 3 - How Constella Uses Weaviate for Vector Search (RAG) and Cross-Platform Syncing across Devices for Consumer Apps
- July 8 - How We Are Building the Core of the AI-Native Stack
- July 9 - Introducing Glowe: Agent-Powered Korean Skincare Routines
- July 10 - Latency and Weaviate: Choosing the Right Region for your Vector Database
- July 14 - Introducing the New Weaviate Confluent Apache Kafka® Connector: Real-Time Vector Data Pipelines Made Easy
- July 22 - Weaviate 1.32 Release
- July 25 - AI Agent Workflow Automation with n8n and Weaviate
- July 30 - Build enterprise workflows with Langchain and Weaviate v3
- August 5 - Why, When and How to Fine-Tune a Custom Embedding Model
- August 12 - Elysia: Building an end-to-end agentic RAG app
- August 20 - Evals and Guardrails in Enterprise workflows (Part 1)
- August 26 - 8-bit Rotational Quantization: How to Improve the Speed-Quality Tradeoff of Vector Search
- September 4 - Chunking Strategies to Improve LLM RAG Pipeline Performance
- September 9 - Using Weaviate Cloud Queries in MacOS apps
- September 17 - Accelerating Data Workflows with Query Agent, now GA
- September 23 - Search Mode Benchmarking
- September 24 - Weaviate is now ISO 27001 compliant
- September 25 - Evals and Guardrails in Enterprise workflows (Part 2)
- October 1 - Building Multi-Agent Systems with Crew AI and Weaviate
- October 2 - Weaviate 1.33 Release
- October 8 - Rethinking Vector Search at Scale: Weaviate's Native, Efficient and Optimized Multi-Tenancy
- October 9 - When Good Models Go Bad
- October 16 - Legacy data to RAG : Modernise Your Apps with Amazon Sagemaker Unified Studio
- October 28 - A Simpler, More Transparent Pricing Model for Weaviate Cloud
- October 30 - Unleash Real-Time Agentic AI with Streaming Agents on Confluent Cloud and Weaviate
- November 4 - Evals and Guardrails in Enterprise workflows (Part 3)
- November 6 - From Kitchen Experiments to Five Star Service: The Weaviate Development Journey
- November 7 - Weaviate security release - Medium and High severity fixes for CVE-2025-67818 and CVE-2025-67819
- November 11 - Weaviate 1.34 Release
- November 20 - Bringing RAG to Life with Dify and Weaviate
- December 2 - Announcing the new Weaviate Java Client v6
- December 3 - AWS 2025 Rising Star Technology Partner
- December 9 - Context Engineering - LLM Memory and Retrieval for AI Agents
- December 29 - Weaviate 1.35 Release
2024
- January 24 - Building Multimodal AI in TypeScript
- January 30 - Using Weaviate with Non-English Languages
- February 1 - Weaviate Python client (v4) goes GA
- February 8 - Weaviate in Snowflake’s Snowpark Container Services
- February 13 - Fine-Tuning Cohere's Reranker
- February 20 - gRPC-Driven Performance Improvements in Weaviate
- February 27 - Weaviate 1.24 Release
- March 7 - Verba: Building an Open Source, Modular RAG Application
- March 12 - Enterprise Use Cases of Weaviate Vector Database
- March 13 - Weaviate Hero
- March 19 - Hurricane: Writing Blog Posts with Generative Feedback Loops
- March 21 - Announcing the Weaviate TypeScript Client Beta
- March 26 - Accelerating Vector Search up to +40% with Intel’s latest Xeon CPU - Emerald Rapids
- April 2 - 32x Reduced Memory Usage With Binary Quantization
- April 9 - A Web Developers Guide to Hybrid Search
- April 11 - Forbes AI 50 List: The most promising AI startups in 2024
- April 17 - Your Language Model Deserves Better Prompting
- April 23 - Unbody: Using Weaviate to Build the Foundation for AI-First App Development
- April 24 - Highlights from Google Next ‘24
- April 30 - Using Weaviate to Find Waldo
- May 8 - Embed and Search Text at Scale with Modal and Weaviate
- May 14 - Shipping Trustworthy AI Products with Instabase and Weaviate
- May 20 - Weaviate 1.25 Release
- May 21 - Building a Local RAG System for Privacy Preservation with Ollama and Weaviate
- May 28 - Evaluation Metrics for Search and Recommendation Systems
- June 4 - Step-by-Step Guide to Choosing the Best Embedding Model for Your Application
- June 11 - The Weaviate v3 Typescript Client goes GA
- June 18 - OpenAI's Matryoshka Embeddings in Weaviate
- June 25 - Best Practices for Scaling Vector Embeddings and Shipping Reliable AI Products
- July 2 - Leveraging Weaviate in Your Xcode Projects - A Step-by-Step Guide
- July 9 - Locally running RAG pipeline with Verba and Llama3 with Ollama
- July 17 - JS June Recap. Our month of JavaScript
- July 25 - Advanced RAG Techniques
- July 30 - Launching into the Production Era
- July 31 - Weaviate 1.26 Release
- August 13 - Typing systems in Python
- August 22 - Integrating AI Search into your Zoom Workplace
- August 29 - Evolving AI use cases for large-scale enterprises
- September 3 - Enriching and Ingesting Data into Weaviate with Aryn
- September 5 - Late Chunking: Balancing Precision and Cost in Long Context Retrieval
- September 9 - Weaviate Named to Will Reed’s Top 100
- September 10 - Weaviate Python Client: v3 API deprecation
- September 17 - AI-Enabled eCommerce in TypeScript
- October 10 - Wealingo
- October 15 - Introduction to LLM RAG - Retrieval Augmented Generation Explained
- October 29 - Weaviate 1.27 Release
- October 29 - Build Contextual GenAI Apps in low code with Lamatic and Weaviate
- November 5 - What Is Agentic RAG? From LLM RAG to AI Agents
- November 19 - How we speed up filtered vector search with ACORN
- November 21 - Vector Search Explained
- November 26 - Weaviate on AWS: Our Journey as an AWS GenAI Startup
- December 3 - Introducing Weaviate Embeddings
- December 4 - Unbody’s Approach to Expanding Weaviate’s Generative Capabilities
- December 11 - ハイブリッド検索とは？
- December 12 - Weaviate 1.28 Release
- December 17 - Hardening your Weaviate OSS Installation
- December 18 - Recap: London Roadshow
2023
- January 10 - Pulling back the curtains on text2vec
- January 16 - Vector Embeddings Explained
- January 24 - How A.I. Creates Art - A Gentle Introduction to Diffusion Models
- January 31 - Weaviate Podcast Search
- February 14 - What to expect from Weaviate in 2023
- February 21 - Combining LangChain and Weaviate
- February 28 - The solution to TL;DRs - Weaviate's summarizer module
- March 7 - Weaviate 1.18 release
- March 14 - HNSW+PQ - Exploring ANN algorithms Part 2.1
- March 21 - The Tile Encoder - Exploring ANN algorithms Part 2.2
- March 23 - How GPT4.0 and other Large Language Models Work
- March 28 - Monitoring Weaviate in Production
- April 4 - The ChatGPT Retrieval Plugin - Weaviate as a Long-term Memory Store for Generative AI
- April 11 - Ranking Models for Better Search
- April 18 - Giving Auto-GPT Long-Term Memory with Weaviate
- April 25 - Authentication in Weaviate (videos)
- April 27 - How to Create Your Own ChatGPT Plugin
- May 2 - Weaviate Cloud Service Public Beta - Open Now!
- May 4 - Weaviate 1.19 Release
- May 5 - Generative Feedback Loops with LLMs for Vector Databases
- May 10 - Try Google's newly announced PaLM API with Weaviate
- May 23 - Ingesting PDFs into Weaviate
- May 30 - Running Large Language Models Privately - privateGPT and Beyond
- June 6 - How to run an embedded vector database in 10 lines of code
- June 13 - Large Language Models and Search
- June 15 - Multi-Tenancy Vector Search with millions of tenants
- June 22 - LlamaIndex and Weaviate
- June 27 - Multimodal Embedding Models
- July 11 - Weaviate 1.20 Release
- July 18 - Better automated testing with Embedded Weaviate
- July 26 - Discover Healthsearch Unlocking Health with Semantic Search ✨
- August 1 - What Is a Vector Database? Similarity Search & Semantic Search for AI
- August 15 - Distance Metrics in Vector Search
- August 22 - Weaviate 1.21 Release
- August 29 - Unlocking the Power of Hybrid Search - A Deep Dive into Weaviate's Fusion Algorithms
- September 11 - Weaviate Gorilla Part 1 GraphQL APIs
- September 19 - How to Reduce Memory Requirements by up to 90%+ using Product Quantization
- September 26 - Make Real-Time AI a Reality with Weaviate + Confluent
- September 26 - Shape the Future - Try Our New Python Client API
- October 2 - Hacktoberfest 2023 - Celebrating Open Source with Weaviate
- October 23 - Weaviate 1.22 Release
- November 15 - Building an AI-Powered Shopping Copilot with Weaviate
- November 21 - An Overview on RAG Evaluation
- November 30 - Achieve Zero-Downtime Upgrades with Weaviate’s Multi-Node Setup
- December 5 - Weaviate’s re:Invent 2023 recap
- December 5 - Multimodal Retrieval-Augmented Generation (RAG)
- December 19 - Weaviate 1.23 Release
- December 26 - Weaviate 2023 Recap
2022
- June 23 - The AI-First Database Ecosystem
- July 6 - Weaviate 1.14 release
- August 9 - Using Cross-Encoders as reranker in multistage vector search
- August 15 - GOMEMLIMIT is a game changer for high-memory applications
- August 30 - Research Insights – Learning to Retrieve Passages without Supervision
- September 1 - Weaviate introduces an all-new business model for vector search
- September 7 - Weaviate 1.15 release
- September 21 - Weaviate 1.15.1 patch release
- September 27 - Support for Hugging Face Inference API in Weaviate
- October 4 - How to choose a Sentence Transformer from Hugging Face
- October 11 - Vamana vs. HNSW - Exploring ANN algorithms Part 1
- October 18 - How to build an Image Search Application with Weaviate
- October 25 - How we solved a race condition with the Lock Striping pattern
- November 1 - Weaviate 1.16 release
- November 15 - Tutorial - Backup and Restore in Weaviate
- November 23 - What is Ref2Vec and why you need it for your recommendation system
- December 1 - Vector Library versus Vector Database
- December 6 - The Sphere Dataset in Weaviate
- December 12 - Cohere Multilingual ML Models with Weaviate
- December 20 - Weaviate 1.17 release
- December 27 - The Details Behind the Sphere Dataset in Weaviate
2021
- January 20 - What if you could understand your unstructured data?
- January 25 - The History of Weaviate
- January 27 - How Weaviate's GraphQL API was designed
- February 15 - Weaviate, a vector database with ANN Index and CRUD support
- March 30 - Weaviate 1.2 release - transformer models
- May 19 - Docker and Containers with Weaviate
- November 25 - Wikipedia and Weaviate