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.
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.
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.
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.