🩺 Inside Med AI: How We Engineered a 100M Token Hyper-Scale Clinical Intelligence Suite 🚀
Hello, tech innovators, data nerds, and health-tech visionaries! 👋 Welcome to the ultimate engineering deep-dive of Med AI . If you followed our journ…
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When Should You Use GraphRAG Instead of RAG?
Most teams building LLM applications start with RAG for a good reason. It is practical, easy to understand, and usually good enough for a simple AI us…
Orphan Communities in GraphRAG Hierarchical Clustering: Why Some Communities Have No PARENT_OF Edges
The Phenomenon After building a knowledge graph with GraphRAG, you query a community node and discover it has no PARENT_OF relationships — neither a p…
The Heart of the AI Harness: A Knowledge Graph of the AI, by the AI, for the AI (Series Part 2)
Hi, I'm Ryan , CTO at airCloset. Disclaimer : "cortex" and "cortex-product-graph" referenced in this article are internal code names for an AI platfor…
How I Built a RAG System With a 7-Million-Node Knowledge Graph (And Why Vector Search Alone Isn't Enough)
Building The Librarian: A Knowledge Graph-Powered RAG System for Medical and Scientific Literature How I built a conversational knowledge management s…
Does Graph Beat Tokens? Engineering a GraphRAG Benchmark on TigerGraph
LLM token costs explode at scale. The TigerGraph GraphRAG Inference Hackathon poses one question: can a knowledge graph make inference cheaper without…
CRAG Implementation using TS
import { StateGraph, Annotation, MessagesAnnotation, END, } from "@langchain/langgraph"; import { ChatOpenAI } from "@langchain/openai"; import { Huma…
RAG Series (16): Graph RAG — Using Knowledge Graphs to Solve Multi-Hop Reasoning
The Relationship Blindspot in Vector Retrieval Every optimization in this series so far — better chunking, reranking, query rewriting, CRAG — works wi…
Building a Real AI Harness: Auto-Reviewed PRs, Self-Healing Ops, and Non-Engineer Contributors (Series Intro)
Hi, I'm Ryan , CTO at airCloset. In my previous posts I've introduced the full picture of our 17 internal MCP servers , an MCP server that searches 99…
Your RAG can't answer 'why' -- GraphRAG finds what vector search misses
The question that broke my RAG pipeline I had a solid RAG setup. Embeddings, vector store, top-k retrieval, the whole thing. It handled factual lookup…