In the News

Featured coverage and recognition across leading technology publications and media outlets. From thought leadership articles to press mentions, these publications highlight contributions to the tech ecosystem, developer communities, and innovative solutions.

DataQuest India

Polyglot Persistence- Not just an exotic idea anymore

An in-depth feature exploring the evolution of database landscape from 'one-size-fits-all relational' to a rich ecosystem of specialized data platforms. Discusses how open source, AI/GenAI/LLMs, and the limitations of traditional relational thinking are driving the shift towards polyglot persistence as mainstream practice.

January 9, 2026
Analytics India Magazine

Neo4j Doesn't Kill RAG But Fixes It

Exploring how Neo4j is addressing GraphRAG challenges and steering the conversation towards context and connection over raw computation. Discusses the growing awareness around GraphRAG, its role in explainable AI, and how companies are finding value in semantic plus context search approaches.

October 23, 2025
The Hindu BusinessLine

AI that can think: The rise of reasoning models that can mimic human logic

An in-depth exploration of the latest advancements in AI reasoning models and their ability to simulate human-like logical thinking processes. Features expert insights on the implications and future of reasoning AI.

October 8, 2025
Open Source For You

Unleashing The Power Of GraphRAG For Smarter Recommendations

Explore how GraphRAG addresses the core limitations of vector-based retrieval and is a significant step forward in the evolution of intelligent applications. Discover how combining knowledge graphs with LLMs enables more structured, context-aware responses.

September 12, 2025
Analytics India Magazine

GraphRAG is Quietly Becoming AI's Next Big Leap

GraphRAG is emerging as the favored AI architecture for enterprise systems, providing clear justifications over general-purpose copilots. The approach combines semantic search with graph reasoning, making AI outputs both accurate and explainable.

August 30, 2025

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