manoja kumar pattanaik

Hybrid RAG Pipelines in 2026: Combining Vector Search, Keyword Search, and Metadata Filtering for Accuracy

ai &ml, architecture, Software, Technology /

As data continues to grow exponentially, building accurate and responsive retrieval-augmented generation (RAG) systems becomes critical. In 2026, leveraging hybrid search strategies by combining vector search, keyword search, and metadata filtering emerges as a robust solution for enhancing accuracy and performance. Introduction Architects face daunting challenges in designing systems that handle scale and complexity while […]

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Designing Multi-Tenant Architectures That Scale: Lessons from Modern SaaS Platforms

architecture, Editors Pick, Software /

In the evolving landscape of Software as a Service (SaaS), designing scalable multi-tenant architectures presents unique challenges. With growing user bases and varying demands, architects must focus on balancing complexity with performance, ensuring reliability and maintaining secure data isolation across tenants. Understanding Multi-Tenancy Multi-tenancy is the architecture in which a single instance of software serves

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From Prompt Engineering to System Design: Building Production-Ready LLM Applications

ai &ml, Editors Pick, Software, Technology /

As large language models (LLMs) become increasingly central to applications across industries, the challenge shifts from simply building and deploying these models to making them production-ready. The path from prompt engineering to system design is lined with obstacles like hallucination, scaling, latency, and cost. Here, we explore how to navigate these challenges to create robust

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The Global AI Regulation Race: What It Means for Innovation, Privacy, and Power

Editors Pick, politics /

The rapid development of artificial intelligence (AI) technologies has prompted a worldwide dialogue on regulation. As governments and international bodies endeavor to address the challenges and opportunities presented by AI, the political landscape is being reshaped. This article explores the intricacies of the global AI regulation race, examining its implications for innovation, privacy, and the

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Event-Driven Architecture with Redis Streams for Scalable Systems

Apps /

In today’s rapidly evolving technological landscape, building scalable systems is not just desirable but essential. Backend engineers and system architects are consistently on the hunt for robust solutions that can handle vast amounts of data efficiently. Event-driven architecture, coupled with Redis Streams, offers a compelling solution to this challenge. By leveraging this architecture, developers can

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From Prompts to Production: Building Real-World LLM Systems That Don’t Break

Apps /

As AI/ML engineers, we are often tasked with the challenge of transforming cutting-edge research into scalable, reliable systems. Large Language Models (LLMs) offer powerful capabilities, but deploying them in real-world scenarios demands an intricate blend of architecture and pragmatism. In this discussion, we will navigate the intricate process of transitioning from simple prompts to robust,

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