GraphRAG Explained: AI Retrieval with Knowledge Graphs & Cypher
Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdngMV 🚀 Try GraphRAG now! Access the code here → https://ibm.biz/BdngaC Learn more about GraphRAG here → https://ibm.biz/BdngM9 🤖 Can AI turn text into structured knowledge? Discover how GraphRAG leverages knowledge graphs, graph databases, and Cypher queries to transform unstructured data into actionable insights. See how LLMs enable intelligent retrieval and automation, reshaping workflows across industries. 🚀 AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdngMU #knowledgegraph #cypher #ai
▶︎
GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem
▶︎
Is RAG Still Needed? Choosing the Best Approach for LLMs
▶︎
DuckLake Solves Streaming to a Lakehouse Without the Small File Nightmare
▶︎
Knowledge Graph or Vector Database… Which is Better?
▶︎
RAG's Evolution: From Simple Retrieval to Agentic AI
▶︎
Data Model vs Ontology | What’s the Difference? | Simple Explanation with Real Examples
▶︎
Connecting the Dots with Context Graphs — Stephen Chin, Neo4j
▶︎
What is a Vector Database? Powering Semantic Search & AI Applications
▶︎
LangChain vs LangGraph: A Tale of Two Frameworks
▶︎
Practical GraphRAG: Making LLMs smarter with Knowledge Graphs — Michael, Jesus, and Stephen, Neo4j
▶︎
Extracting Knowledge Graphs From Text With GPT4o
▶︎
RAG vs. CAG: Solving Knowledge Gaps in AI Models
▶︎
Agentic GraphRAG: Simplifying Retrieval Across Structured & Unstructured Data — Zach Blumenfeld
▶︎
GraphRAG: Building a Smarter AI System (full walkthrough)
▶︎
Vector DB vs Graph DB: Which One Do You Actually Need?
▶︎
What is a Knowledge Graph?
▶︎
Graph RAG Evolved: PathRAG (Relational Reasoning Paths)
▶︎
Building Knowledge Graph for RAG with LangChain & Neo4j | Step-by-Step Tutorial!
▶︎
Intro to GraphRAG — Zach Blumenfeld
▶︎