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What is Weaviate?

Weaviate is an open-source vector database designed to help users efficiently manage data objects and vector embeddings generated from their preferred machine learning models, with the capability to scale seamlessly to handle billions of items. Users have the option to import their own vectors or make use of the provided vectorization modules, allowing for the indexing of extensive data sets that facilitate effective searching. By incorporating a variety of search techniques, including both keyword-focused and vector-based methods, Weaviate delivers an advanced search experience. Integrating large language models like GPT-3 can significantly improve search results, paving the way for next-generation search functionalities. In addition to its impressive search features, Weaviate's sophisticated vector database enables a wide range of innovative applications. Users can perform swift pure vector similarity searches across both raw vectors and data objects, even with filters in place to refine results. The ability to combine keyword searches with vector methods ensures optimal outcomes, while the integration of generative models with their data empowers users to undertake complex tasks such as engaging in Q&A sessions over their datasets. This capability not only enhances the user's search experience but also opens up new avenues for creativity in application development, making Weaviate a versatile tool in the realm of data management and search technology. Ultimately, Weaviate stands out as a platform that not only improves search functionalities but also fosters innovation in how applications are built and utilized.

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

Amazon Web Services (AWS)
ChatGPT Plus
Cognee
Diaflow
GPT-3
GPT-3.5
GPT-4
Google Cloud Platform
Hugging Face
Kestra
Langflow
Langtrace
Lyzr
OmniMind
Orchestra
Pillar Security
Restack
StackAI
Unremot
voyage-code-3

Integrations Supported

Amazon Web Services (AWS)
ChatGPT Plus
Cognee
Diaflow
GPT-3
GPT-3.5
GPT-4
Google Cloud Platform
Hugging Face
Kestra
Langflow
Langtrace
Lyzr
OmniMind
Orchestra
Pillar Security
Restack
StackAI
Unremot
voyage-code-3

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$599/month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site 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

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