KNCMAP AI The Core of RAG Systems

The Core of RAG Systems: Embedding Models, Chunking, Vector Databases

In the age of large language models (LLMs), Retrieval-Augmented Generation (RAG) has emerged as one of the most powerful approaches for building intelligent applications. Whether you’re creating a chatbot, a document assistant, or an enterprise knowledge engine, three pillars make RAG work: embedding models, chunking, and vector databases. This article breaks down what they are,…

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Vision Language Models

Advancing Vision-Language Models: New Alignment Methods in TRL

Beyond DPO: New Multimodal Alignment Methods in TRL Vision-Language Models (VLMs) are becoming more capable, but aligning them with human preferences remains crucial. Previously, we introduced Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) for VLMs in TRL. Now, we’re pushing further with three advanced alignment techniques:  Mixed Preference Optimization (MPO) – Combines DPO, SFT, and quality loss for better reasoning  Group Relative Policy…

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PDE EQUATIONS

Partial Differential Equations (PDEs), Their Canonical Forms wave, heat, and Laplace equations

Partial differential equations (PDEs) are classified into different types based on their characteristics, which determine the nature of their solutions and the appropriate solution methods. The three most important PDEs in mathematical physics are: Read: Introduction to Tensor Calculus a key Component in Machine Learning building Partial differential equations (PDEs) are used in machine learning…

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LAPLACE TRANSFORMS

Mastering Laplace Equations and Transforms The History, Derivations, and Solved Examples

Brief Historical Introduction to Laplace Transform The Laplace Transform is a cornerstone of mathematical physics and engineering, with deep historical roots dating back to the 18th century. Named after Pierre-Simon Laplace (1749–1827), a French mathematician and astronomer, this transformative tool emerged as part of his work on probability and celestial mechanics. Read: Introduction to Tensor…

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The State of Mobile App Development in 2025–2026 Trends

The State of Mobile App Development in 2025–2026 Trends

Mobile development has evolved from a simple question of “iOS or Android?” into a rich, multi-faceted discipline that intersects technology, design, business strategy, and human behavior. Where developers once debated programming languages like Swift and Kotlin, today the discussion encompasses cross-platform frameworks, AI-powered personalization, wearable integration, AR/VR, sustainability, and evolving monetization models. For businesses and…

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RAG FRAMEWORKS

The Top Open-Source RAG Frameworks to Know in 2025: Build Smarter AI with Real-World Context

Retrieval-Augmented Generation (RAG) is quickly redefining how we build and deploy intelligent AI systems. It isn’t a replacement for large language models (LLMs)—it’s the missing piece that makes them useful in real-world settings. With hallucinations, outdated knowledge, and limited memory being persistent LLM issues, RAG introduces a smarter approach: retrieve factual information from reliable sources,…

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