February 2025

A Clear-Eyed Look at Emotion AI: Current Reality and Future Questions

AI/ML, Data Engineering /

The tech world loves a bold prediction. If you’ve been following the AI space lately, you’ve likely seen headlines proclaiming that machines will soon understand human emotions better than we do. Having researched and implemented AI systems, I’ve learned to look past the hype and focus on what’s actually possible today. The Reality of Emotion […]

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Smarter RAG Retrieval with Multi-Attribute Vector Indexing

AI/ML /

Introduction Retrieval-Augmented Generation (RAG) has transformed AI applications by enhancing Large Language Models (LLMs) with real-world, dynamic data. However, traditional vector search methods often struggle with complex queries that involve multiple attributes, such as time sensitivity, location, or category filtering. For example, if you ask a RAG-powered system for “recent clinical trials on diabetes in

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Smarter RAG Retrieval with Multi-Attribute Indexing

AI/ML /

Precision AI search, unlocked! In Retrieval-Augmented Generation (RAG) applications, efficiently handling complex queries that involve multiple attributes is crucial for delivering accurate and relevant results. 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Traditional vector search methods often fall short when processing queries that require filtering based on multiple attributes, leading to less precise retrievals. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗠𝘂𝗹𝘁𝗶-𝗔𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗲 𝗩𝗲𝗰𝘁𝗼𝗿 𝗜𝗻𝗱𝗲𝘅𝗶𝗻𝗴: By

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