2021

• November 25, 2021 - Wikipedia and Weaviate
• May 19, 2021 - Docker and Containers with Weaviate
• March 30, 2021 - Weaviate 1.2 release - transformer models
• February 15, 2021 - Weaviate, a vector database with ANN Index and CRUD support
• January 27, 2021 - How Weaviate's GraphQL API was designed
• January 25, 2021 - The History of Weaviate
• January 20, 2021 - What if you could understand your unstructured data?

2022

• December 27, 2022 - The Details Behind the Sphere Dataset in Weaviate
• December 20, 2022 - Weaviate 1.17 release
• December 12, 2022 - Cohere Multilingual ML Models with Weaviate
• December 6, 2022 - The Sphere Dataset in Weaviate
• December 1, 2022 - Vector Library versus Vector Database
• November 23, 2022 - What is Ref2Vec and why you need it for your recommendation system
• November 15, 2022 - Tutorial - Backup and Restore in Weaviate
• November 1, 2022 - Weaviate 1.16 release
• October 25, 2022 - How we solved a race condition with the Lock Striping pattern
• October 18, 2022 - How to build an Image Search Application with Weaviate
• October 11, 2022 - Vamana vs. HNSW - Exploring ANN algorithms Part 1
• October 4, 2022 - How to choose a Sentence Transformer from Hugging Face
• September 27, 2022 - Support for Hugging Face Inference API in Weaviate
• September 21, 2022 - Weaviate 1.15.1 patch release
• September 7, 2022 - Weaviate 1.15 release
• September 1, 2022 - Weaviate introduces an all-new business model for vector search
• August 30, 2022 - Research Insights – Learning to Retrieve Passages without Supervision
• August 15, 2022 - GOMEMLIMIT is a game changer for high-memory applications
• August 9, 2022 - Using Cross-Encoders as reranker in multistage vector search
• July 6, 2022 - Weaviate 1.14 release
• June 23, 2022 - The AI-First Database Ecosystem

2023

• December 26, 2023 - Weaviate 2023 Recap
• December 19, 2023 - Weaviate 1.23 Release
• December 5, 2023 - Multimodal Retrieval Augmented Generation(RAG)
• December 5, 2023 - Weaviate’s re:Invent 2023 recap
• November 30, 2023 - Achieve Zero-Downtime Upgrades with Weaviate’s Multi-Node Setup
• November 21, 2023 - An Overview on RAG Evaluation
• November 15, 2023 - Building an AI-Powered Shopping Copilot with Weaviate
• October 23, 2023 - Weaviate 1.22 Release
• October 2, 2023 - Hacktoberfest 2023 - Celebrating Open Source with Weaviate
• September 26, 2023 - Shape the Future - Try Our New Python Client API
• September 26, 2023 - Make Real-Time AI a Reality with Weaviate + Confluent
• September 19, 2023 - How to Reduce Memory Requirements by up to 90%+ using Product Quantization
• September 11, 2023 - Weaviate Gorilla Part 1 GraphQL APIs
• August 29, 2023 - Unlocking the Power of Hybrid Search - A Deep Dive into Weaviate's Fusion Algorithms
• August 22, 2023 - Weaviate 1.21 Release
• August 15, 2023 - Distance Metrics in Vector Search
• August 1, 2023 - A Gentle Introduction to Vector Databases
• July 26, 2023 - Discover Healthsearch Unlocking Health with Semantic Search ✨
• July 18, 2023 - Better automated testing with Embedded Weaviate
• July 11, 2023 - Weaviate 1.20 Release
• June 27, 2023 - Multimodal Embedding Models
• June 22, 2023 - LlamaIndex and Weaviate
• June 15, 2023 - Multi-Tenancy Vector Search with millions of tenants
• June 13, 2023 - Large Language Models and Search
• June 6, 2023 - How to run an embedded vector database in 10 lines of code
• May 30, 2023 - Running Large Language Models Privately - privateGPT and Beyond
• May 23, 2023 - Ingesting PDFs into Weaviate
• May 10, 2023 - Try Google's newly announced PaLM API with Weaviate
• May 5, 2023 - Generative Feedback Loops with LLMs for Vector Databases
• May 4, 2023 - Weaviate 1.19 Release
• May 2, 2023 - Weaviate Cloud Service Public Beta - Open Now!
• April 27, 2023 - How to Create Your Own ChatGPT Plugin
• April 25, 2023 - Authentication in Weaviate (videos)
• April 18, 2023 - Giving Auto-GPT Long-Term Memory with Weaviate
• April 11, 2023 - Ranking Models for Better Search
• April 4, 2023 - The ChatGPT Retrieval Plugin - Weaviate as a Long-term Memory Store for Generative AI
• March 28, 2023 - Monitoring Weaviate in Production
• March 23, 2023 - How GPT4.0 and other Large Language Models Work
• March 21, 2023 - The Tile Encoder - Exploring ANN algorithms Part 2.2
• March 14, 2023 - HNSW+PQ - Exploring ANN algorithms Part 2.1
• March 7, 2023 - Weaviate 1.18 release
• February 28, 2023 - The solution to TL;DRs - Weaviate's summarizer module
• February 21, 2023 - Combining LangChain and Weaviate
• February 14, 2023 - What to expect from Weaviate in 2023
• January 31, 2023 - Weaviate Podcast Search
• January 24, 2023 - How A.I. Creates Art - A Gentle Introduction to Diffusion Models
• January 16, 2023 - Vector Embeddings Explained
• January 10, 2023 - Pulling back the curtains on text2vec

2024

• December 18, 2024 - Recap: London Roadshow
• December 17, 2024 - Hardening your Weaviate OSS Installation
• December 12, 2024 - Weaviate 1.28 Release
• December 11, 2024 - ハイブリッド検索とは？
• December 4, 2024 - Unbody’s Approach to Expanding Weaviate’s Generative Capabilities
• December 3, 2024 - Introducing Weaviate Embeddings
• November 26, 2024 - Weaviate on AWS: Our Journey as an AWS GenAI Startup
• November 21, 2024 - Vector Search Explained
• November 19, 2024 - How we speed up filtered vector search with ACORN
• November 5, 2024 - What is Agentic RAG
• October 29, 2024 - Build Contextual GenAI Apps in low code with Lamatic and Weaviate
• October 29, 2024 - Weaviate 1.27 Release
• October 15, 2024 - Introduction to Retrieval Augmented Generation (RAG)
• October 10, 2024 - Wealingo
• September 17, 2024 - AI-Enabled eCommerce in TypeScript
• September 10, 2024 - Weaviate Python Client: v3 API deprecation
• September 9, 2024 - Weaviate Named to Will Reed’s Top 100
• September 5, 2024 - Late Chunking: Balancing Precision and Cost in Long Context Retrieval
• September 3, 2024 - Enriching and Ingesting Data into Weaviate with Aryn
• August 29, 2024 - Evolving AI use cases for large-scale enterprises
• August 22, 2024 - Integrating AI Search into your Zoom Workplace
• August 13, 2024 - Typing systems in Python
• July 31, 2024 - Weaviate 1.26 Release
• July 30, 2024 - Launching into the Production Era
• July 25, 2024 - Advanced RAG Techniques
• July 17, 2024 - JS June Recap. Our month of JavaScript
• July 9, 2024 - Locally running RAG pipeline with Verba and Llama3 with Ollama
• July 2, 2024 - Leveraging Weaviate in Your Xcode Projects - A Step-by-Step Guide
• June 25, 2024 - Best Practices for Scaling Vector Embeddings and Shipping Reliable AI Products
• June 18, 2024 - OpenAI's Matryoshka Embeddings in Weaviate
• June 11, 2024 - The Weaviate v3 Typescript Client goes GA
• June 4, 2024 - Step-by-Step Guide to Choosing the Best Embedding Model for Your Application
• May 28, 2024 - Evaluation Metrics for Search and Recommendation Systems
• May 21, 2024 - Building a Local RAG System for Privacy Preservation with Ollama and Weaviate
• May 20, 2024 - Weaviate 1.25 Release
• May 14, 2024 - Shipping Trustworthy AI Products with Instabase and Weaviate
• May 8, 2024 - Embed and Search Text at Scale with Modal and Weaviate
• April 30, 2024 - Using Weaviate to Find Waldo
• April 24, 2024 - Highlights from Google Next ‘24
• April 23, 2024 - Unbody: Using Weaviate to Build the Foundation for AI-First App Development
• April 17, 2024 - Your Language Model Deserves Better Prompting
• April 11, 2024 - Forbes AI 50 List: The most promising AI startups in 2024
• April 9, 2024 - A Web Developers Guide to Hybrid Search
• April 2, 2024 - 32x Reduced Memory Usage With Binary Quantization
• March 26, 2024 - Accelerating Vector Search up to +40% with Intel’s latest Xeon CPU - Emerald Rapids
• March 21, 2024 - Announcing the Weaviate TypeScript Client Beta
• March 19, 2024 - Hurricane: Writing Blog Posts with Generative Feedback Loops
• March 13, 2024 - Weaviate Hero
• March 12, 2024 - Enterprise Use Cases of Weaviate Vector Database
• March 7, 2024 - Verba: Building an Open Source, Modular RAG Application
• February 27, 2024 - Weaviate 1.24 Release
• February 20, 2024 - gRPC-Driven Performance Improvements in Weaviate
• February 13, 2024 - Fine-Tuning Cohere's Reranker
• February 8, 2024 - Weaviate in Snowflake’s Snowpark Container Services
• February 1, 2024 - Weaviate Python client (v4) goes GA
• January 30, 2024 - Using Weaviate with Non-English Languages
• January 24, 2024 - Building Multimodal AI in TypeScript

2025

• April 29, 2025 - Build Scalable Gen AI Data Pipelines with Weaviate and Databricks
• April 17, 2025 - Exploring RAG and GraphRAG: Understanding when and how to use both
• April 15, 2025 - Introducing the Weaviate Personalization Agent
• April 9, 2025 - An Overview of Late Interaction Retrieval Models: ColBERT, ColPali, and ColQwen
• April 8, 2025 - Weaviate 1.30 Release
• March 11, 2025 - Introducing the Weaviate Transformation Agent
• March 6, 2025 - What Are Agentic Workflows? Patterns, Use Cases, Examples, and More
• March 5, 2025 - Introducing the Weaviate Query Agent
• March 4, 2025 - Welcome to the Next Era of Data and AI: Meet Weaviate Agents
• February 26, 2025 - BlockMax WAND: How Weaviate Achieved 10x Faster Keyword Search
• February 25, 2025 - Accelerate Enterprise AI: 94% Faster Search, Simplified Embedding Creation, and Dedicated Azure Deployment
• February 25, 2025 - Weaviate 1.29 Release
• February 13, 2025 - Agents Simplified: What we mean in the context of AI
• January 30, 2025 - The Future Speaks in Vectors - Why AI-native infrastructure is critical for agentic AI
• January 27, 2025 - Hybrid Search Explained
• January 21, 2025 - Introducing the Weaviate Trust Portal
• January 16, 2025 - Building AI Search APIs with Hono.js
• January 10, 2025 - Weaviate on Vertex AI RAG Engine: Building RAG Applications on Google Cloud
• January 7, 2025 - Building Agentic Workflows with Inngest