Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Build AI Agents with Enterprise Databases

Coursera · Intermediate ·🔍 RAG & Vector Search ·1mo ago

Build AI agents that can leverage enterprise databases using the MCP Toolbox for Databases. You will define secure database interaction tools, and implement intelligent querying capabilities (leveraging vector embeddings, structured queries).

Watch on Coursera ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

How to build a production RAG pipeline in Python (without a vector database)

Learn to build a production-ready RAG pipeline in Python without relying on a vector database, and understand the key considerations for a scalable and efficient implementation

Dev.to · Ayi NEDJIMI

Architecting Sub-150ms Hybrid RAG for Voice Agents: Combining pgvector, BM25, and Async FastAPI…

Learn how to architect a sub-150ms hybrid RAG for voice agents using pgvector, BM25, and Async FastAPI to serve large industrial catalogs

Medium · Python

Security Controls in Enterprise RAG: Keys, Audit Logs, and the Hierarchy That Prevents Role Elevation

Implement security controls in Enterprise RAG to prevent role elevation and ensure data integrity

Dev.to · Manjunath

Four Metrics That Actually Tell You Whether Your Enterprise RAG Is Working

Learn the 4 key metrics to evaluate the effectiveness of your Enterprise RAG implementation and improve its performance

Dev.to · Manjunath

Watch this before applying for jobs as a developer.