Advanced RAG with Vector Databases and Retrievers
Completed by Benoit CATIGA--XAVIER
February 11, 2026
7 hours (approximately)
Benoit CATIGA--XAVIER'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
- Category: User Interface (UI)
- Category: Vector Databases
- Category: Performance Tuning
- Category: Large Language Modeling
- Category: Embeddings
- Category: UI Components
- Category: Retrieval-Augmented Generation
- Category: LLM Application
