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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 Cloaked AI?

Cloaked AI protects sensitive AI data through advanced encryption methods while ensuring it remains accessible. It allows for the secure encryption of vector embeddings stored in databases, meaning that only those with the correct key can search through these vectors. This strategy successfully prevents inversion attacks and other risks aimed at retrieval-augmented generation (RAG) systems, facial recognition technologies, and more, significantly boosting data security. In a time when the reliability of AI applications faces ongoing evaluation, these protective measures play an essential role in maintaining trust and integrity. Moreover, as the use of AI continues to expand, the necessity for robust security protocols becomes even more critical.

Media

Media

No images available

Integrations Supported

Agno
Amazon Bedrock
Amazon Web Services (AWS)
Anyscale
Cleanlab
Composio
Contextual AI
Cursor
Databricks
DeepEval
Dify
DocumentDB for VS Code
Dynamiq
Firecrawl
Google Cloud Marketplace
IBM API Connect
LangChain
Parallel
Replicate
Tadata

Integrations Supported

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

$599/month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Weaviate

Date Founded

2019

Company Location

The Netherlands

Company Website

weaviate.io

Company Facts

Organization Name

IronCore Labs

Date Founded

2015

Company Location

United States

Company Website

ironcorelabs.com

Categories and Features

AI Memory Layers

Not specified

Context Engineering

Not specified

Vector Databases

Not specified

Categories and Features

AI Security

Not specified

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