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Weaviate is an open-source vector database designed to facilitate the development of AI-native applications by providing efficient storage and retrieval of vector embeddings. It combines vector search with traditional keyword search techniques, allowing for precise and contextual data retrieval across various data modalities. With integrations for popular machine learning models and support for hybrid search, Weaviate empowers developers to create applications such as semantic search engines, recommendation systems, and chatbots. Its cloud-native architecture ensures scalability and flexibility, making it a preferred choice for both developers and enterprises aiming to leverage AI in their software solutions.

Weaviate

weaviate

An open-source, AI-native vector database enabling developers to build and scale AI-powered applications with advanced data retrieval capabilities.

AlphaFold is an AI system developed by DeepMind that predicts the 3D structures of proteins based on their amino acid sequences. By leveraging deep learning techniques, AlphaFold has achieved remarkable accuracy in protein structure prediction, significantly advancing the field of structural biology. This breakthrough has profound implications for understanding biological processes and accelerating drug discovery.

DeepMind's AlphaFold

deepminds-alphafold

An AI system that predicts protein structures with high accuracy.

Browse Agentic AI Category "AI Model Serving Platforms", free pricing

Weaviate

DeepMind's AlphaFold