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ApertureData Resource Library
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Can A RAG Chatbot Really Improve Content?
We asked our chatbot questions like "Can ApertureDB store pdfs?" and the answer it gave..
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Case Studies
Badger Technologies Uses ApertureDB to Solve "Wrong Product" Placement Problems at Scale
'The company uses ApertureDB to enhance vector search performance on their library of embeddings, achieving a 2.5x improvement in
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ApertureDB Now Available on DockerHub
Getting started with ApertureDB has never been easier or safer...
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Blogs
ApertureDB 2.0: Redefining Visual Data Management for AI
A key to solving Visual AI challenges is to bring together the key learnings of...
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Your Multimodal Data Is Constantly Evolving - How Bad Can It Get?
The data landscape has dramatically changed in the last two decades...
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Accelerate Industrial and Visual Inspection with Multimodal AI
From worker safety to detecting product defects to overall quality control, industrial and visual inspection plays a crucial role...
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Applied
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Are Vector Databases Enough for Visual Data Use Cases?
ApertureDB vector search and classification functionality is offered as part of our unified API defined to...
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Challenges and Triumphs: Multimodal AI in Life Sciences
AI presents a new and unparalleled transformational opportunity for the life sciences sector...
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Minute-Made Data Preparation with ApertureDB
Working with visual data (images, videos) and its metadata is no picnic...
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Vector Databases and Beyond for Multimodal AI: A Beginner's Guide Part 1
Multimodal AI, vector databases, large language models (LLMs)...
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Building a Specialized Database for Analytics on Images and Videos
ApertureDB is a database for visual data such as images, videos, embeddings and associated metadata like annotations, purpose-built for...
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How a Purpose-Built Database for Multimodal AI Can Save You Time and Money
With extensive data systems needed for modern applications, costs...
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Vector Databases and Beyond for Multimodal AI: A Beginner's Guide Part 2
Multimodal AI, vector databases, large language models (LLMs)...
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Retrieval augmented generation (RAG)
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