Learn how iterative prompting, Python, and Google Colab helped turn a multilingual hreflang mapping project into a scalable workflow.

Today, everything is being digitalized. The digital age has changed everything. One such thing is the social networks. Social networks have changed the way information is being transferred in today’s ...

This article presents a technical implementation of Graph RAG (Retrieval-Augmented Generation) integrated with Odoo Open Source CRM platform. The implementation combines Neo4j knowledge graphs with ...

Development of a novel deep learning architecture to accurately predict user preferences based on their viewing behavior and patterns. Integration of graph analysis techniques with deep learning to ...

In the realm of data science, algorithms and computational power take the centre stage. Yet, behind these innovations lies a robust foundation built on discrete mathematics, a branch of mathematics ...

This repository provides an automated code graph analysis pipeline built on jQAssistant and Neo4j. It supports Java and experimental TypeScript analysis, capturing both the structure and evolution of ...

Here we study the semantic search and retrieval problem in biomedical digital libraries. First, we introduce MedGraph, a knowledge graph embedding-based method that provides semantic relevance ...

The Figure above shows the overview of ReGraph workflow. After configurations, run make autogen to generate the synthesizable accelerators and the connectivity files. Below is a detailed example to ...