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Reflecting on 2025: ApertureData's Journey and What's Next for Multimodal AI Data Management and Agent Memory in 2026
Reflecting on 2025: ApertureData's Journey and What's Next for Multimodal AI Data Management and Agent Memory in 2026
Looking forward to an exciting 2026 ahead as we shift from AI PoCs to AI in production, context graphs, 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, agentic memory, and multimodal data management with ApertureDB.
Blogs
January 9, 2026
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Blogs
September 17, 2025
Beyond SQL: The Query Language Multimodal AI Really Needs
ApertureDB has its own query language, AQL, using JSON as its native format, because traditional languages like SQL, Cypher, were insufficient for managing, searching, and processing multimodal AI data at scale. AQL allows for expressing complex data types and operations, and ApertureDB also offers simplified interfaces, including SQL and SPARQL wrappers, and natural language access through RAG and MCP. The core idea is to prioritize the problem's solution over existing language barriers, aligning with the evolving needs of AI systems.
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Beyond SQL: The Query Language Multimodal AI Really Needs
Blogs
December 11, 2025
Engineering An AI Agent To Navigate Large-scale Event Data - Part 2
From Query Patterns to Intelligent Tools & Agent Design
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Engineering An AI Agent To Navigate Large-scale Event Data - Part 2
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
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Reflecting on 2025: ApertureData's Journey and What's Next for Multimodal AI Data Management and Agent Memory in 2026
Blogs
January 9, 2026
Reflecting on 2025: ApertureData's Journey and What's Next for Multimodal AI Data Management and Agent Memory in 2026
Looking forward to an exciting 2026 ahead as we shift from AI PoCs to AI in production, context graphs, 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, agentic memory, and multimodal data management with ApertureDB.
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Product
AI Agents
High performance
Knowledge graph and graph databases
Multimodal / Generative AI
Vector / similarity / semantic search
State Of The Union: AI In 2025 And Its Future, From Leaders In The Industry
Blogs
December 17, 2025
State Of The Union: AI In 2025 And Its Future, From Leaders In The Industry
We reached out to the leaders spearheading AI transformation in their organizations to gather their thoughts on what went right with AI in 2025, what didn't get enough attention, what were some non-AI things affecting our lives, and to discuss any mismatches in our understanding or use of AI.
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Industry Experts
AI Agents
Multimodal / Generative AI
Retrieval augmented generation (RAG)
Engineering An AI Agent To Navigate Large-scale Event Data - Part 2
Blogs
December 11, 2025
Engineering An AI Agent To Navigate Large-scale Event Data - Part 2
From Query Patterns to Intelligent Tools & Agent Design
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Applied
AI Agents
Knowledge graph and graph databases
Multimodal / Generative AI
Vector / similarity / semantic search
Retrieval augmented generation (RAG)
Engineering the Memory Layer For An AI Agent To Navigate Large-scale Event Data
Blogs
December 9, 2025
Engineering the Memory Layer For An AI Agent To Navigate Large-scale Event Data
An Agentic search platform for MLOps World talks using ApertureDB, multimodal models and LangGraph
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Applied
AI Agents
Knowledge graph and graph databases
Multimodal / Generative AI
Vector / similarity / semantic search
Human Memory As The Perfect Template For AI Memory
Blogs
October 23, 2025
Human Memory As The Perfect Template For AI Memory
This blog explores how human memory inspires the next generation of AI systems that don’t just recall data but learn, adapt, and reason through context. By mirroring how we process multimodal information, AI memory can evolve into a living, dynamic engine for intelligent decision-making.
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Applied
AI Agents
How Multimodal Vector Databases Are Transforming Challenges Across Industries
Blogs
September 29, 2025
How Multimodal Vector Databases Are Transforming Challenges Across Industries
Learn how vector databases like ApertureDB help healthcare ads stay compliant by flagging missing facts and improving transparency.
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Applied
Multimodal / Generative AI
Retrieval augmented generation (RAG)
Vector / similarity / semantic search
Beyond SQL: The Query Language Multimodal AI Really Needs
Blogs
September 17, 2025
Beyond SQL: The Query Language Multimodal AI Really Needs
ApertureDB has its own query language, AQL, using JSON as its native format, because traditional languages like SQL, Cypher, were insufficient for managing, searching, and processing multimodal AI data at scale. AQL allows for expressing complex data types and operations, and ApertureDB also offers simplified interfaces, including SQL and SPARQL wrappers, and natural language access through RAG and MCP. The core idea is to prioritize the problem's solution over existing language barriers, aligning with the evolving needs of AI systems.
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Product
Multimodal / Generative AI
Usability and Debugging
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.
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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."
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Applied
AI Agents
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.