Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

Abstract: This work introduces a new method using Natural Language Processing (NLP) and Neo4j to construct a multi-linked knowledge network from cricket commentary. The proposed system extracts ...

User Query → Strategy Selection → Graph Database → AI Processing → Natural Language Response ↓ ↓ ↓ ↓ ↓ Gradio UI LangChain Agent Neo4j Graph OpenAI GPT Answer Output Key NOTE: Remember to NOT use a ...

Neo4j, a leading graph intelligence platform, is releasing Neo4j Fleet Manager—a unified control plane for managing and monitoring graph databases across any environment including cloud, hybrid, and ...

A comprehensive tool for converting YANG network models into knowledge graphs stored in Neo4j. This tool scans YANG files, parses them using pyang, generates SKOS ontologies, and loads them into a ...

The microbiome represents a complex community of trillions of microorganisms residing in various body parts and plays critical roles in maintaining host health and wellbeing. Understanding the ...

According to @deeplearningai and @akollegger, their new course 'Agentic Knowledge Graph Construction' demonstrates how leveraging a team of AI agents can automate the ...

According to DeepLearning.AI, it launched a short course titled Agentic Knowledge Graph Construction in collaboration with Neo4j and taught by Andreas Kollegger to show how knowledge graphs complement ...

Google’s Knowledge Graph saw its largest contraction in a decade in June: a two-stage, one-week drop of 6.26% – over 3 billion entities deleted. Since 2015, we’ve tracked the Knowledge Graph and have ...