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Your Smart AI Agent Needs A Multimodal Brain
Your Smart AI Agent Needs A Multimodal Brain
Smart AI agents need more than text to truly act like humans—they need unified memory across text, images, video, audio, and metadata. Part 2 of this 3 part series blog series explains how a purpose-built multimodal database like ApertureDB delivers that memory, enabling modern AI agents to perceive, reason, and act with real context and speed.
Blogs
June 16, 2025
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Blogs
February 10, 2025
Is Your Chatbot Secure?
ApertureData and Realm Labs help developers build secure RAG chatbots by combining advanced permissions management with graph-vector storage, ensuring data protection and efficient access control.
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Is Your Chatbot Secure?
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
February 7, 2025
Agentic RAG with ApertureDB and HuggingFace SmolAgents
Agentic RAG is the future of LLM applications! This blog article shows you how to build a powerful research paper search engine using ApertureDB & Huggingface SmolAgents.
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Agentic RAG with ApertureDB and HuggingFace SmolAgents
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Your Smart AI Agent Needs A Multimodal Brain
Blogs
June 16, 2025
Your Smart AI Agent Needs A Multimodal Brain
Smart AI agents need more than text to truly act like humans—they need unified memory across text, images, video, audio, and metadata. Part 2 of this 3 part series blog series explains how a purpose-built multimodal database like ApertureDB delivers that memory, enabling modern AI agents to perceive, reason, and act with real context and speed.
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Applied
AI Agents
Automating Knowledge Graph Creation with Gemini 2.5 and ApertureDB - Part 2
Blogs
June 13, 2025
Automating Knowledge Graph Creation with Gemini 2.5 and ApertureDB - Part 2
Part 2 of the tutorial walks you through extracting relationships between entities using Gemini 2.5 and building a fully connected, interactive knowledge graph in ApertureDB. It also covers visualizing the graph and highlights real-world applications in search, education, and AI pipelines.
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Applied
Knowledge graph and graph databases
Retrieval augmented generation (RAG)
Automating Knowledge Graph Creation with Gemini 2.5 and ApertureDB - Part 1
Blogs
June 12, 2025
Automating Knowledge Graph Creation with Gemini 2.5 and ApertureDB - Part 1
This blog shows how to build a knowledge graph using ApertureDB and Gemini 2.5 Flash to power smarter RAG systems. Part 1 covers extracting and storing entities, enabling real-world use cases like semantic search and AI-powered customer support.
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Applied
Knowledge graph and graph databases
Retrieval augmented generation (RAG)
Smarter Agents Start with Smarter Data
Blogs
June 5, 2025
Smarter Agents Start with Smarter Data
Building smart AI agents isn't just about better models — it's about better data infrastructure. This blog explores why legacy stacks fail multimodal AI and sets the stage for modern solutions that enable agents to reason, act, and scale.
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Product
AI Agents
Beyond Vanilla RAG: Unlocking Enhanced Retrieval with GraphRAG and ApertureDB
Blogs
April 2, 2025
Beyond Vanilla RAG: Unlocking Enhanced Retrieval with GraphRAG and ApertureDB
Unlock the power of GraphRAG for better AI retrieval. Learn how ApertureDB enables structured knowledge graphs for accurate, context-rich LLM responses in addition to its vector search and multimodal data management capabilities.
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Applied
AI Agents
Knowledge graph and graph databases
Multimodal / Generative AI
Vector / similarity / semantic search
Retrieval augmented generation (RAG)
Is Your Chatbot Secure?
Blogs
February 10, 2025
Is Your Chatbot Secure?
ApertureData and Realm Labs help developers build secure RAG chatbots by combining advanced permissions management with graph-vector storage, ensuring data protection and efficient access control.
READ MORE
READ MORE
Industry Experts
Retrieval augmented generation (RAG)
Data privacy and security
Knowledge graph and graph databases
Vector / similarity / semantic search
Agentic RAG with ApertureDB and HuggingFace SmolAgents
Blogs
February 7, 2025
Agentic RAG with ApertureDB and HuggingFace SmolAgents
Agentic RAG is the future of LLM applications! This blog article shows you how to build a powerful research paper search engine using ApertureDB & Huggingface SmolAgents.
READ MORE
READ MORE
Applied
Retrieval augmented generation (RAG)
AI Agents
Multimodal / Generative AI
Vector / similarity / semantic search
Reflecting on 2024: ApertureData's Journey and What's Next for Multimodal AI Data Management in 2025.
December 23, 2024
Reflecting on 2024: ApertureData's Journey and What's Next for Multimodal AI Data Management in 2025.
Happy holidays and 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.
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Lessons Learned Building a Cloud-Agnostic Database‍
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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Product
Data privacy and security
Usability and Debugging
High performance
Infrastructure and Deployment
AI Agents
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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© 2025 ApertureData Inc.
© 2025 ApertureData Inc.