ApertureData Resource Library

Our Latest Post

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

December 23, 2024

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Blogs

December 12, 2024

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

October 10, 2023

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

November 21, 2024

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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