RAG Systems & Agentic Workflows with Pinecone and LangGraph
Completed by ADITYA VIKRAM
September 15, 2026
19 hours (approximately)
ADITYA VIKRAM'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: Application Performance Management
- Category: Semantic Web
- Category: Data Pipelines
- Category: Generative AI Agents
- Category: LangGraph
- Category: LLM Application
- Category: Context Management
- Category: Large Language Modeling
- Category: Memory Management
- Category: Performance Tuning
- Category: Embeddings
- Category: Debugging
