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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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Reflecting on 2024:  ApertureData's Journey and What's Next for Multimodal AI Data Management in 2025.
Blogs
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.
Read More
Watch Now
Multimodal / Generative AI
Lessons Learned Building a Cloud-Agnostic Database‍
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.
Read More
Watch Now
Product
Data privacy and security
Usability and Debugging
High performance
Infrastructure and Deployment
Insights and Musings from the Grace Hopper Panel: Navigating Conflicts and Synergies in Multimodal AI Across Industries
Blogs
Insights and Musings from the Grace Hopper Panel: Navigating Conflicts and Synergies in Multimodal AI Across Industries
This panel of experts got together to demystify the various AI tools and technologies, understand how the technologies interplay, and help our audience understand both the similarities and differences, across various industries.
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Industry Experts
Multimodal / Generative AI
Machine Learning
Dataset preparation and management
Why AI Teams Need A Cloud-Agnostic Database
Why AI Teams Need A Cloud-Agnostic Database
This post explores four compelling reasons why building your advanced AI applications with a cloud-agnostic database from the outset is a wise choice.
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Building Real World RAG-based Applications with ApertureDB
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.
Read More
Watch Now
Applied
Retrieval augmented generation (RAG)
Vector / similarity / semantic search
Multimodal / Generative AI
Why Addy AI Switched from QDrant to ApertureDB
Case Studies
Why Addy AI Switched from QDrant to ApertureDB
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Applied
Vector / similarity / semantic search
Multimodal / Generative AI
High performance
What Makes a Multimodal Database? - Excerpt from Awesome AI Dev Tools September 2024
Videos & Podcasts
What Makes a Multimodal Database? - Excerpt from Awesome AI Dev Tools September 2024
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Events
Multimodal / Generative AI
Vector / similarity / semantic search
Knowledge graph and graph databases
Can Your AI Handle the Future of Multi-Modal Data?
Videos & Podcasts
Can Your AI Handle the Future of Multi-Modal Data?
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Industry Experts
Multimodal / Generative AI
Infrastructure and Deployment
Dataset preparation and management
Data privacy and security
Machine Learning
Building AI Databases: Insights on Vector and Graph Solutions
Videos & Podcasts
Building AI Databases: Insights on Vector and Graph Solutions
AI Innovation Summit talk on the how we designed and developed ApertureDB to...
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Product
Multimodal / Generative AI
Retrieval augmented generation (RAG)
Vector / similarity / semantic search
Knowledge graph and graph databases
High performance
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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