Building a Graph RAG System: A Step-by-Step Approach

Beyond Vector Search: Building a Deterministic 3-Tiered Graph-RAG System

In "AI/ML Research"

Agentic RAG for Software Testing with Hybrid Vector-Graph and Multi-Agent Orchestration

We present an approach to software testing automation using Agentic Retrieval-Augmented Generation (RAG) systems for Quality Engineering (QE) artifact creation. We combine autonomous AI agents with hybrid vector-graph knowledge systems to automate test plan, case, and QE metric generation. Our approach addresses traditional software testing limitations by leveraging LLMs such…

In "FAANG"

mRAKL: Multilingual Retrieval-Augmented Knowledge Graph Construction for Low-Resourced Languages

Knowledge Graphs represent real-world entities and the relationships between them. Multilingual Knowledge Graph Construction (mKGC) refers to the task of automatically constructing or predicting missing entities and links for knowledge graphs in a multilingual setting. In this work, we reformulate the mKGC task as a Question Answering (QA) task and…

In "FAANG"