AI Enhancement with Knowledge Graphs - Mastering RAG Systems
Completed by Fabio Alexander Ramirez Salamanca
January 26, 2026
5 hours (approximately)
Fabio Alexander Ramirez Salamanca's account is verified. Coursera certifies their successful completion of AI Enhancement with Knowledge Graphs - Mastering RAG Systems
What you will learn
Build and query advanced Knowledge Graphs using Neo4j for practical applications.
Integrate Knowledge Graphs with RAG workflows to improve AI system performance.
Create vector indexes and embeddings for enhanced data retrieval and contextualization.
Design end-to-end RAG-powered Knowledge Graphs, from data extraction to AI application.
Skills you will gain
- Category: Graph Theory
- Category: Retrieval-Augmented Generation
- Category: Embeddings
- Category: Development Environment
- Category: AI Integrations
- Category: LLM Application
- Category: Large Language Modeling
- Category: Graphing
- Category: Query Languages
- Category: Data Processing
- Category: AI Workflows
- Category: Vector Databases
