Weaviate

Weaviate's platform enables users to build AI agents that autonomously perform tasks, make decisions, and interact with users. The page also offers resources, tutorials, and support for using agentic AI in applications.

Build AI-Native Applications with JavaScript

The company offers dedicated cloud deployments and enterprise SLAs backed by its core engineering team for mission-critical AI workloads in production.

iOS Apps and Vector Databases

The page describes how companies use Weaviate to build AI-powered applications.

The company offers AI infrastructure solutions to support AI initiatives and improve efficiency and scalability.

The GigaOm Sonar Report for Vector Databases provides a thorough examination of the rapidly evolving vector database market

Trust, security, and privacy come first

The page invites applicants to participate in Google Summer of Code, learn about open-source development, and contribute to Weaviate.

The page offers a startup deal for Weaviate Cloud.

Available support tiers and plans for Weaviate Cloud users with different service levels.

The page compares pricing options for different levels of vector database services and solutions.

The page explains how Weaviate operates as a company.

The company describes a workplace focused on flexibility, growth, innovation, and fulfilling work.

The company provides help with questions.

Where to get help with Weaviate: community channels, Weaviate Cloud support tickets, support plans, and how to reach the team.

Bring AI-native applications to life with less hallucination, data leakage, and vendor lock-in

The page outlines Weaviate B.V.'s cookie policy.

The page contains a data processing agreement.

The page outlines Weaviate B.V.'s privacy policy.

Be inclusive

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Weaviate Hero

Weaviate releases **Engram**, its vector memory system, for general availability. The tool enables AI agents to store, retrieve, and process long-term knowledge dynamically, improving decision-making in production environments. Engram integrates with existing Weaviate deployments, supporting scalable memory management for enterprise AI applications.

Jun 2026GlobeNewswireNews article

Weaviate introduces **Agent Skills**, a framework enabling AI coding agents to integrate specialized tools and APIs. The platform allows developers to extend agent capabilities with domain-specific functions, such as code execution, database queries, or third-party service calls. Early adopters include enterprise teams building internal AI assistants for software development workflows.

Feb 2026GlobeNewswireNews article

Weaviate secures **GenAI Competency Status** from **Amazon Web Services (AWS)**, validating its generative AI capabilities. The company’s vector search and semantic AI platform integrates with AWS tools to enhance AI-driven applications. This recognition highlights Weaviate’s role in supporting enterprise AI workflows.

Jul 2024GlobeNewswireNews article

Weaviate expands its collaboration with AWS to help developers build generative AI applications more easily. The open-source vector database integrates with AWS tools, lowering technical barriers for AI model deployment. This partnership highlights Weaviate’s role in accelerating AI workflows on AWS’s cloud infrastructure.

Nov 2023BigDATAwireNews article