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Reflecting on 2024:  ApertureData's Journey and What's Next for Multimodal AI Data Management in 2025.
Reflecting on 2024: ApertureData's Journey and What's Next for Multimodal AI Data Management in 2025.
Happy holidays and wish you an exciting 2025 ahead as we shift from LLMs to AI agents, guardrails, and multimodality! Thank you for your continued support, and we look forward to partnering with you in the new year to tackle evolving challenges in AI and multimodal data management with ApertureDB.
Blogs
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Blogs
Lessons Learned Building a Cloud-Agnostic Database‍
Building cloud-agnostic software poses some challenges. Because we ran into some while building ApertureDB, a cloud-agnostic database specifically built for multimodal data and metadata, we discuss our learnings.
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Lessons Learned Building a Cloud-Agnostic Database‍
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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Badger Technologies Uses ApertureDB to Solve "Wrong Product" Placement Problems at Scale
Blogs
Building Real World RAG-based Applications with ApertureDB
LLMs, RAGs, Chatbots, Agents. All hot topics! 🔥 But what does it mean to implement these and make them work well? See some real examples built on ApertureDB's purpose-built multimodal vector db.
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Building Real World RAG-based Applications with ApertureDB
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Minisode for The Data Product Management In Action podcast
Videos & Podcasts
Minisode for The Data Product Management In Action podcast
Explore Aperture\s mission to simplify the work of data scientists, engineers, and machine learning teams...
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Industry Experts
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Can A RAG Chatbot Really Improve Content?
Blogs
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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Applied
Retrieval augmented generation (RAG)
Vector / similarity / semantic search
Multimodal / Generative AI
How a Purpose-Built Database for Multimodal AI Can Save You Time and Money
Blogs
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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Applied
Multimodal / Generative AI
Vector / similarity / semantic search
Data privacy and security
Usability and Debugging
High performance
Your Multimodal Data Is Constantly Evolving - How Bad Can It Get?
Blogs
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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Product
Multimodal / Generative AI
Dataset preparation and management
Semantic Search to Glean Valuable Insights from Podcast- Part 3
Blogs
Semantic Search to Glean Valuable Insights from Podcast- Part 3
Multi-part blog series on querying podcast transcripts for quick information retrieval using vector search
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Industry Experts
Vector / similarity / semantic search
Multimodal / Generative AI
Retrieval augmented generation (RAG)
Why Do We Need A Purpose-Built Database For Multimodal Data?
Blogs
Why Do We Need A Purpose-Built Database For Multimodal Data?
Recently, data engineering and management has grown difficult for companies building modern applications...
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Product
Knowledge graph and graph databases
Multimodal / Generative AI
Vector / similarity / semantic search
High performance
Dataset preparation and management
A Database for Multimodal AI
Videos & Podcasts
A Database for Multimodal AI
GenAI zoo talk on ApertureDB and how to build a chatbot and multimodal AI...
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Product
Multimodal / Generative AI
Vector / similarity / semantic search
Knowledge graph and graph databases
Retrieval augmented generation (RAG)
Database for Multimodal AI
Videos & Podcasts
Database for Multimodal AI
2024 DataConnect Conference Start Up Showcase for select startups...
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Industry Experts
Vector / similarity / semantic search
Multimodal / Generative AI
Knowledge graph and graph databases
Dataset preparation and management
Vector Databases and Beyond for Multimodal AI: A Beginner's Guide Part 2
Blogs
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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Industry Experts
Multimodal / Generative AI
Machine Learning
Retrieval augmented generation (RAG)
Knowledge graph and graph databases
Vector / similarity / semantic search
Infrastructure and Deployment
Data privacy and security
Retrieval augmented generation (RAG)
Usability and Debugging
Multimodal / Generative AI
Machine Learning
High performance
Dataset preparation and management
Knowledge graph and graph databases
Visual Data
Vector / similarity / semantic search
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