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India AI Summit 2026 Erupts in Controversy as Chinese Robodog Sparks...
When innovation meets controversy, the fallout goes global. The India AI Summit 2026 was meant to showcase India’s AI leadership — instead, it became the center of a heated political and technological storm over a Chinese robotic dog.
Build an AI Agent From Scratch in Python (No LangChain): Tools,...
What “AI Agent” Really Means (In Plain English)The Agent Design (Minimal and Practical)1) Tools2) Memory3) Planning4) Stop Conditions (This is what makes it “real”)Full...
The Next AI Boom: What’s Coming, Who Wins, and How to...
The next AI boom is here. Discover what’s coming in 2026, who wins (agents, workflows, data), and how to prepare with a simple, practical playbook from Tech Niche Pro.
The Next AI Boom: What’s Coming, Who Wins, and How to...
The next AI boom is here. Discover what’s coming in 2026, who wins (agents, workflows, data), and how to prepare with a simple, practical playbook from Tech Niche Pro.
Stop Shipping Dumb RAG: Build Hybrid RAG With Fusion + Rerank...
Hybrid RAG is the difference between a confident AI and a correct one.
If your RAG system sounds smart but keeps answering the wrong thing, the problem isn’t the LLM — it’s retrieval.
In this guide, you’ll learn how to build Hybrid RAG using BM25, vector search, fusion, and reranking — the same retrieval pattern used in real production AI systems.
We’ll break down Hybrid RAG in simple language, explain why vector-only RAG fails, and show how fusion + rerank dramatically improves answer accuracy.
You’ll also get a clean Python blueprint for Hybrid RAG that you can adapt to any dataset.
If you’re building RAG applications and care about accuracy, trust, and real-world performance, this article will change how you design retrieval forever.
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PRODUCTIVITY HACKS
AI Document Extraction: LLMs That Tame Complex PDFs
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