Why Vector RAG Fails AI Agents: Building an Autonomous SRE Swarm with FalkorDB
Large Language Models depend on the context they are given. In the year the usual way to give context has been Vector RAG (embeddings plus cosine si…
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Building a fraud investigation agent on TigerGraph for Hacker House Goa
For the TigerGraph Hacker House Goa challenge we built an agent that works fraud alerts the way an analyst would. It looks up the card's history, ch…
JEVelric : An Agentic Fraud Investigation System on TigerGraph
What we built JEVelric is an AI agent that investigates card fraud the way a human fraud analyst would: it takes a trigger — a risk score, a custome…
Building RAVEL: Detecting Complex Fraud Rings with TigerGraph Cloud & Agentic GraphRAG
TigerGraph Hacker House Goa — Agentic Fraud Investigation Challenge Team / Co-Authors: Nikhil Kumar Panigrahi & Sai Manohari Godavarty Live Work…
The Agent That Knows When to Stop: Agentic Fraud Investigation on TigerGraph
Task #4 · TigerGraph problem statement · Hacker House Goa 2026 A risk score pings. Is it fraud, a holiday, or a new phone? We built SentinelGraph ,…
From Obsidian Vault to AI-Powered Knowledge Graph in Minutes
Open your Obsidian graph view and look at it honestly: every line on that screen is a link you typed by hand. The person mentioned in forty notes bu…
Как с помощью graph RAG добиться многоходовых рассуждений от LLM с 2B весов
Пару недель назад YouTube подкинул мне пятиминутный ролик с небольшого канала, где автор демонстрирует преимущества RAG на графах над об…
Using SynapCores as a LlamaIndex Vector Store + Property Graph Store
Most LlamaIndex setups end up with two separate backends once you go beyond plain vector search: a vector store for VectorStoreIndex , and a separat…
When the same incident becomes five separate events in your graph
A single corporate event in East Asia rarely shows up once. A merger gets filed at OpenDART in Korean, reported by EDINET in Japanese a day later, p…
From Neo4j Fundamentals to GraphRAG: 7 Things I Learned About Building Modern AI Agents
For a long time, I assumed building better AI applications meant using better LLMs. After learning about Neo4j , GraphRAG , Aura Agents , and LLM Me…
Reimagining Workspace Search with Cognee, Knowledge Graphs, and Multi-Hop Reasoning
The promise of Enterprise AI is simple: give an LLM access to your company’s internal tools, and let it answer complex organizational questions. But…
Building Modular AI Agent Features with Pydantic AI Capabilities
If you're building AI Agents with Pydantic AI, understanding Capabilities is invaluable - it's the recommended way to add modular, reusable features…
🩺 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 jou…
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…
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…
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 platf…
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…
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 witho…
CRAG Implementation using TS
import { StateGraph, Annotation, MessagesAnnotation, END, } from "@langchain/langgraph"; import { ChatOpenAI } from "@langchain/openai"; import { Hu…
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…
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…
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 look…
10 актуальных RAG-подходов: какие реально полезны и когда их применять?
Всем привет, на фоне обновлений в LLM-стеке за последний год, решил собрать практический список RAG-подходов, которые реально используются в продакш…