RAG Systems & Agentic Workflows with Pinecone and LangGraph
Completed by Dr. Suvarna Chaure
July 20, 2026
19 hours (approximately)
Dr. Suvarna Chaure's account is verified. Coursera certifies their successful completion of RAG Systems & Agentic Workflows with Pinecone and LangGraph
What you will learn
Build end-to-end RAG pipelines connecting LLMs with external knowledge sources using embeddings and vector search
Design and query vector databases using ChromaDB, Pinecone, and FAISS for context-aware semantic retrieval
Create multi-step conversational agents with session memory, state management, and retrieval-driven Q&A
Optimize and debug AI agent workflows using observability tools like LangFuse, W&B, and OpenTelemetry
Skills you will gain
- Category: Agentic systems
- Category: Software Visualization
- Category: LLM Application
- Category: Agentic Workflows
- Category: AI Workflows
- Category: Context Management
- Category: Memory Management
- Category: Semantic Web
- Category: Application Performance Management
- Category: Embeddings
- Category: Vector Databases
- Category: AI Orchestration

