Alpesh Kumar
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Yearly: 2026

Home/2026/Page 6
Vector Quantisation: How Code Books Compress Similar Data — an illustrated flow of many similar input vectors being matched to a small numbered code book, then represented by one compact index to show lossy shared-dictionary compression.
Machine Learning

Vector Quantisation: How Code Books Compress Similar Data

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Contextual Retrieval: Anthropic’s Approach to Reducing RAG Retrieval Failures — an abstract knowledge-retrieval scene shows incomplete document fragments gaining contextual metadata before semantic and keyword paths converge on a focused result, representing how added context reduces RAG retrieval failures.
Software Architecture

Contextual Retrieval: Anthropic’s Approach to Reducing RAG Retrieval Failures

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TurboVec: What This Rust Vector Index Is and How to Evaluate It — a dark technical illustration shows a glowing field of connected vector points compressing into an organized geometric index as a bright query path selects nearby vectors, representing evaluation of compressed vector retrieval.
Artificial Intelligence, Python

TurboVec: What This Rust Vector Index Is and How to Evaluate It

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Multi-Agent Systems: Your Guided Learning Path — a visible connected route through distinct AI-workflow stations, guardrails, and a human-reviewed destination represents the article’s structured learning path from foundations to responsible decisions.
AI Agents

Multi-Agent Systems: Your Guided Learning Path

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Recent Posts

  • LangGraph Persistence Tutorial: Checkpoint and Resume Multi-Agent Workflows
  • AI Product Development: Prototypes Are Cheap, Judgment Is Not
  • LangGraph Routing and Parallel Execution: Send Tasks to the Right Agents
  • LangGraph Shared State Tutorial: Control Context in Multi-Agent Systems
  • Python 3.15 Is Almost Here: 7 Features Developers Should Know

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“ Design is not just what it looks like and feels like. Design is how it works. “

Alpesh Kumar

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