- Natural Language Processing
- Generative AI
- Performance Tuning
- Semantic Web
- LLM Application
- UI Components
- Database Management Systems
- Large Language Modeling
- Scalability
- Application Development
Advanced RAG with Vector Databases and Retrievers
Completed by Benjamin Nguyen
October 13, 2025
7 hours (approximately)
Benjamin Nguyen's account is verified. Coursera certifies their successful completion of Advanced RAG with Vector Databases and Retrievers
What you will learn
Build RAG applications using vector databases and advanced retrieval patterns
Employ the core mechanics of Vector Databases such as FAISS and Chroma DB and implement indexing algorithms like HNSW
Implement advanced retrievers using LlamaIndex and LangChain to improve the quality of LLM responses
Develop comprehensive RAG applications by integrating LangChain, FAISS, and front-end user interfaces built using Gradio
Skills you will gain
