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What is Weaviate?

Weaviate is an open-source, AI-native database that helps organizations build and ship AI applications on a single, scalable foundation. It stores data objects alongside the vector embeddings produced by your chosen machine learning models and scales smoothly to billions of records. Teams can supply their own vectors or use Weaviate's built-in vectorization, then query their data through vector, keyword, and hybrid search to surface the most relevant results, even with complex filters. By integrating with leading large language models, Weaviate makes it straightforward to build retrieval-augmented generation, grounded question answering, and intelligent search over proprietary data. Beyond core retrieval, Weaviate offers a growing platform: the Query Agent converts natural-language questions into precise, cited queries; Engram provides managed memory that lets AI agents retain context over time; and Weaviate Embeddings handles vectorization as a managed service. Organizations can self-host under an open-source license or adopt fully managed Weaviate Cloud on AWS, GCP, or Azure, with SOC 2 Type II compliance, multi-tenancy, replication, and role-based access control. From semantic search and recommendations to agentic automation, Weaviate turns business data into AI-powered products.

What is Agent Payments Protocol (AP2)?

Google has launched the Agent Payments Protocol (AP2), a collaborative and open protocol co-developed with over 60 varied companies in the realms of payments, fintech, and technology, including major players like Mastercard, PayPal, Adyen, Coinbase, and Etsy, with the purpose of enabling secure transactions conducted by agents across multiple platforms. This innovative protocol expands upon earlier open standards such as Agent2Agent (A2A) and the Model Context Protocol (MCP), ensuring that when an AI agent handles a payment on behalf of a user, it meets three critical standards: authorization, confirming the user's explicit consent for the transaction; authenticity, ensuring that the agent's intended purchase matches the user's true intent; and accountability, which preserves clear audit trails and assigns responsibility for any mistakes or fraudulent activities. To maintain these rigorous standards, the protocol integrates mandates, which are cryptographically signed digital agreements backed by verifiable credentials, thus bolstering security and fostering trust in agent-driven transactions. By introducing AP2, Google aims to make a notable leap forward in the digital payments landscape, striving to boost users' confidence in their automated financial dealings. This initiative not only enhances transaction security but also positions Google as a leader in redefining how digital payments are processed in an increasingly automated world.

Media

Media

Integrations Supported

Confluent
Model Context Protocol (MCP)
Anyscale
Claude Code
Cohere
Composio
Dynamiq
Gemini CLI
GitHub
Mem0

Integrations Supported

Confluent
Model Context Protocol (MCP)
1Password
BHN Rewards
Checkout.com
Coinbase Cloud
Dell Technologies Cloud
Gravitee
Manus AI
Mastercard Payment Gateway Services
QUICPay
Universal Commerce Protocol (UCP)

API Availability

Has API

API Availability

Pricing Information

Free
Open source (free); free Weaviate Cloud tier; paid Cloud plans from $45/mo.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Weaviate

Date Founded

2019

Company Location

The Netherlands

Company Website

weaviate.io

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/blog/products/ai-machine-learning/announcing-agents-to-payments-ap2-protocol

Categories and Features

AI Memory Layers

Not specified

Context Engineering

Not specified

Vector Databases

Not specified

Categories and Features

Context Engineering

Not specified

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