Author
AI Mastery Architect
Specializing in RAG infrastructure, GPU optimization, and agentic workflows. Leading the technical research and engineering tools development at AI Mastery.
Specializing in RAG infrastructure, GPU optimization, and agentic workflows. Leading the technical research and engineering tools development at AI Mastery.
Recent work
Why AI Agents Need a Terminal, Not Just a Vector Database
Researchers propose Direct Corpus Interaction (DCI) — a technique that gives AI agents raw bash-like terminal access to search corpora, outperforming dense retrievers by over 30 points on multi-hop QA while cutting costs by 29%.
The Complete Developer Guide to Running LLMs Locally: From Ollama to Production
Everything you need to run LLMs on your own hardware in 2026: VRAM sizing, model formats, an 8-tool comparison table, a full local RAG pipeline, and Docker production deployment with GPU passthrough and Nginx auth.
Event-Driven Architecture for Agentic AI: The Architect's Guide
A comprehensive architectural guide to designing resilient, real-time agentic AI systems using event-driven architecture — covering loose coupling, fault isolation, reference architecture, and governance patterns.
The Best Small Language Models Available on Hugging Face
A comprehensive breakdown of the most capable sub-8B parameter local language models currently dominating the Hugging Face hub.
5 Cool Things I Did With Local Language Models
Discover five unique, practical, and incredibly fun projects you can build on consumer hardware using open source local LLMs.
Building Context-Aware Search in Python with LLM Embeddings and Metadata
A complete guide to constructing a semantic engine using SentenceTransformers and pre-filtering metadata to return context-rich results.
Top 5 Small Language Models for Agentic Tool Calling
Explore 5 small language models (SLMs) that feature open weights and first-class tool-calling support for local agentic workflows.
The AI Talent War Comes for Enterprise Software
OpenAI and Anthropic are raiding the C-suites of Salesforce, Snowflake, and Palantir — not for researchers this time, but for seasoned enterprise sales and go-to-market executives.
China Blocks Meta's $2bn Acquisition of AI Start-up Manus
Beijing's top economic regulator has prohibited Meta's roughly $2 billion takeover of autonomous AI agent start-up Manus, citing foreign investment restrictions tied to the company's Chinese origins.
Building AI Agents with Local Small Language Models (SLMs)
Learn how to build fully functional, private AI agents on your own hardware using Ollama and LangChain with lightweight models under 10B parameters.
The Rise of Multi-Modal Reasoning in Next-Gen LLMs
How native multi-modality trained from the ground up is revolutionizing application development and changing the way we interact with AI.
Why Vector Databases are Essential for Enterprise AI
A deep dive into embeddings, semantic search, and why standard SQL databases aren't enough for LLM context retrieval.