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ApertureDB and AI Workflows: Building Blocks of Multimodal AI Applications
ApertureDB and AI Workflows: Building Blocks of Multimodal AI Applications
ApertureDB AI Workflows are designed to simplify the creation of multimodal AI applications by providing modular, flexible, and purpose-built components for AI pipelines. These workflows automate common AI/ML tasks such as data ingestion, search, and data correlation, integrating with ApertureDB's graph, vector, and multimodal capabilities, and partnering with models and services from other tools.
Blogs
September 2, 2025
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Blogs
August 28, 2025
Smart AI Agents In the Wild
The future of AI isn’t bigger models—it’s smarter agents. Discover how real-world teams are using ApertureDB to power agents that see, reason, and act."
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Smart AI Agents In the Wild
Blogs
June 12, 2025
Automating Knowledge Graph Creation with Gemini 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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Automating Knowledge Graph Creation with Gemini and ApertureDB - Part 1
Blogs
June 13, 2025
Automating Knowledge Graph Creation with Gemini 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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Automating Knowledge Graph Creation with Gemini and ApertureDB - Part 2
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ApertureDB and AI Workflows: Building Blocks of Multimodal AI Applications
Blogs
September 2, 2025
ApertureDB and AI Workflows: Building Blocks of Multimodal AI Applications
ApertureDB AI Workflows are designed to simplify the creation of multimodal AI applications by providing modular, flexible, and purpose-built components for AI pipelines. These workflows automate common AI/ML tasks such as data ingestion, search, and data correlation, integrating with ApertureDB's graph, vector, and multimodal capabilities, and partnering with models and services from other tools.
READ MORE
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Product
AI Agents
Dataset preparation and management
Multimodal / Generative AI
Usability and Debugging
Vector / similarity / semantic search
Smart AI Agents In the Wild
Blogs
August 28, 2025
Smart AI Agents In the Wild
The future of AI isn’t bigger models—it’s smarter agents. Discover how real-world teams are using ApertureDB to power agents that see, reason, and act."
READ MORE
READ MORE
Applied
AI Agents
Automating Knowledge Graph Creation with Gemini and ApertureDB – Part 4
Blogs
August 15, 2025
Automating Knowledge Graph Creation with Gemini and ApertureDB – Part 4
This blog compares Vanilla RAG and Graph RAG pipelines built with Gemini and ApertureDB, showing that while traditional retrieval metrics favor pure vector search, LLM-based evaluation often prefers Graph RAG for producing clearer, richer, and more connected answers.
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Applied
Knowledge graph and graph databases
Automating Knowledge Graph Creation with Gemini and ApertureDB – Part 3
August 5, 2025
Automating Knowledge Graph Creation with Gemini and ApertureDB – Part 3
In Part 3 of her blog series, Ayesha Imran moves beyond symbolic structure, adding a semantic layer with Gemini embeddings and ingest vectors into ApertureDB native database to enable the hybrid retrieval that makes GraphRAG possible.
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Applied
Knowledge graph and graph databases
AI Agents
The Misunderstood World of Knowledge Graphs
Blogs
July 21, 2025
The Misunderstood World of Knowledge Graphs
Graph databases are powerful in what they can let us build but there are a lot of misconceptions limiting their adoption. This blog addresses those and shows what's possible.
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Industry Experts
Knowledge graph and graph databases
Dataset preparation and management
Multimodal / Generative AI
What Does Multimodality Truly Mean For AI?
Blogs
July 2, 2025
What Does Multimodality Truly Mean For AI?
For human quality AI or better, applications based on classic ML to Gen AI to AI agents, will have to be based on multimodal data since we, as humans, process a combination of text, voice, imagery to, relationships to answer questions or decide what we want to do. We explore what that really means.
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Industry Experts
AI Agents
Multimodal / Generative AI
Knowledge graph and graph databases
Retrieval augmented generation (RAG)
Vector / similarity / semantic search
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
Multimodal / Generative AI
Retrieval augmented generation (RAG)
Knowledge graph and graph databases
High performance
Automating Knowledge Graph Creation with Gemini and ApertureDB - Part 2
Blogs
June 13, 2025
Automating Knowledge Graph Creation with Gemini 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.
READ MORE
READ MORE
Applied
Knowledge graph and graph databases
Retrieval augmented generation (RAG)
Automating Knowledge Graph Creation with Gemini and ApertureDB - Part 1
Blogs
June 12, 2025
Automating Knowledge Graph Creation with Gemini 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.
READ MORE
READ MORE
Applied
Knowledge graph and graph databases
Retrieval augmented generation (RAG)
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.