Build an LLM and RAG-based Chat Application using AlloyDB and LangChain
Completed by Hossein Rezaie Khavari
August 25, 2025
1 hours (approximately)
Hossein Rezaie Khavari's account is verified. Coursera certifies their successful completion of Build an LLM and RAG-based Chat Application using AlloyDB and LangChain
What you will learn
How LLMs process language and how RAG enhances their capabilities by retrieving relevant information from a knowledge base.
Set up and interact with AlloyDB, a scalable and performant PostgreSQL database designed for demanding workloads.
Explore LangChain's tools and components for building LLM-powered applications, including document loaders, prompt templates, and chains.
Skills you will gain
- Category: Artificial Intelligence
- Category: Operational Databases
- Category: Large Language Modeling
- Category: LangChain
- Category: Prompt Patterns
- Category: User Interface (UI) Design
- Category: Database Systems
- Category: LLM Application
- Category: User Interface (UI)
- Category: PostgreSQL
- Category: Cloud Computing
- Category: Retrieval-Augmented Generation
