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…
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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…
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…
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…
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…
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…