GraphRAG: When Knowledge Graphs Meet Retrieval
Explore graph-based RAG systems that combine knowledge graphs with LLMs. Learn Microsoft GraphRAG, Neo4j integration, and when to use graph vs vector retrieval.
Jared AI Hub
Research, projects, and deployed AI solutions
Read the technical blogs, and use the chatbot.
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Inside the lab
Mostly thinking, building, and seeing what works.
Write-ups, experiments, and whatever comes out of them.
Blog
Long-form breakdowns on agents, retrieval, multimodal systems, evaluation, and the practical tradeoffs behind them.
ExploreProjects
Small products and experiments that turn the notes into working interfaces, pipelines, and demos.
ExploreChatbot
A usable chat surface for local and cloud models so the site is not just read-only commentary.
ExploreLatest writing
New posts from the workshop floor.
Fresh essays on agents, retrieval, multimodal systems, and the machinery behind shipping useful AI products.
Browse all postsProduction AI Agents: The Complete Checklist
A comprehensive guide to productionizing AI agent solutions. Includes a complete working project example, security practices, compliance considerations (SOC2/HIPAA/GDPR), and actionable checklists for production readiness.
From Clawdbot to OpenClaw: The Rise of Personal AI Agents and Their Security Risks
OpenClaw (formerly Clawdbot/Moltbot) became the fastest-growing GitHub project ever, but its security vulnerabilities and the Moltbook social network for AI agents have created unprecedented risks. This guide covers the evolution, capabilities, and critical security concerns every developer should understand.
Structured Outputs: Getting Reliable JSON from LLMs
Learn how to reliably extract structured data from LLMs. Covers native JSON modes, Pydantic integration, function calling, and handling edge cases.