Deasy Labs (Acquired By Collibra)

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Deasy Labs (acquired by Collibra) offers metadata orchestration for AI workflows. It helps AI teams create and embed high-quality, customized metadata into AI workflows like RAG.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is Deasy Labs (acquired by Collibra)?

Deasy Labs, now part of Collibra, specializes in providing metadata orchestration solutions tailored for AI workflows. Its platform is designed to assist AI teams in the crucial task of generating and integrating high-quality, customized metadata directly into their AI processes, including Retrieval Augmented Generation (RAG). A core focus of Deasy Labs is the transformation of unstructured data into structured, AI-ready data slices, thereby enhancing the efficiency and effectiveness of AI applications.

Best used for

Orchestrating metadata and transforming unstructured data into AI-ready formats for enhanced AI workflows like RAG.

Common actions

Orchestrate metadata

Enhance AI workflows

Prepare data for AI

Improve RAG systems

Manage unstructured data

Capabilities

Key features

Metadata orchestration
AI workflow integration
Customized metadata
Unstructured data transformation
AI-ready data slices

Target Audience

AI teamsData scientistsMachine learning engineersData architects

Integrations

Not yet documented

Pricing & Plans

unknown

Not publicly disclosed. Check deasylabs.com for current pricing.

FAQs

Since Deasy Labs was acquired by Collibra, is its technology still available as a standalone product or is it integrated into Collibra's existing offerings?

Deasy Labs' technology is now integrated into Collibra's data intelligence platform. Users interested in its capabilities for metadata orchestration and AI workflow integration should explore Collibra's current product suite.

How does Deasy Labs' technology specifically help with Retrieval Augmented Generation (RAG) workflows?

Deasy Labs' technology assists RAG by generating and integrating high-quality, customized metadata directly into AI processes. This ensures that the retrieval component of RAG has access to well-structured and relevant information for more accurate and effective generation.

Can Deasy Labs' capabilities handle various types of unstructured data, such as text documents, images, or audio, for transformation into AI-ready data slices?

Deasy Labs focuses on transforming unstructured data into structured, AI-ready data slices. While the description emphasizes text-based AI workflows like RAG, its core capability is adaptable to various unstructured data types, depending on Collibra's broader platform support.

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AI Agents & Automation › RAG & Document AI AI Agents & Automation › AI Frameworks & Infra

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