Weaviate Blog
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Unbody: Using Weaviate to Build the Foundation for AI-First App Development
Unbody: Using Weaviate to Build the Foundation for AI-First App Development
Transforming data scattered across various sources into actionable insights, like searching or building chatbots, involves many complex tasks. Unbody - built on Weavaite’s technology - automates it all with just a few clicks and a line of code.
Your Language Model Deserves Better Prompting
Your Language Model Deserves Better Prompting
One prompt does not fit all language models. Learn how to optimize your prompts using DSPy compilers.
Forbes AI 50 List: The most promising AI startups in 2024
Forbes AI 50 List: The most promising AI startups in 2024
Weaviate is happy to announce our inclusion in the Forbes AI 50 2024 list!
A Web Developers Guide to Hybrid Search
A Web Developers Guide to Hybrid Search
Hybrid Search for curious Web Developers with the new Weaviate TypeScript client and Next.js
32x Reduced Memory Usage With Binary Quantization
32x Reduced Memory Usage With Binary Quantization
In-depth technical breakdown of how binary quantization works and how to use it in Weaviate.
Accelerating Vector Search up to +40% with Intel’s latest Xeon CPU - Emerald Rapids
Accelerating Vector Search up to +40% with Intel’s latest Xeon CPU - Emerald Rapids
Boosting Weaviate using SIMD-AVX512, Loop Unrolling and Compiler Optimizations
Announcing the Weaviate TypeScript Client Beta
Announcing the Weaviate TypeScript Client Beta
A beta release of our new TypeScript client is now available! Help us make it better by trying it out and providing your feedback.
Hurricane: Writing Blog Posts with Generative Feedback Loops
Hurricane: Writing Blog Posts with Generative Feedback Loops
Hurricane is a web application to demonstrate Generative Feedback Loops with blog posts.
Weaviate Hero
Weaviate Hero
We’re excited to share the details of our newly launched Weaviate Hero Program! Let’s find out more ...
Enterprise Use Cases of Weaviate Vector Database
Enterprise Use Cases of Weaviate Vector Database
Explore enterprise use cases heavily used by our customers adopting generative AI features, search capabilities, and RAG with Weaviate vector database.
Verba: Building an Open Source, Modular RAG Application
Verba: Building an Open Source, Modular RAG Application
Verba is an open source Retrieval Augmented Generation (RAG) application built using a modular, customizable architecture that makes it easy for anyone to use AI methods to get personalized answers on their own data.