Richmond Alake

MongoDB

Han Heloir

Solutions Architect

Discover how to build powerful multi-agent AI systems using AutoGen and MongoDB. This guide explores the integration of Microsoft's AutoGen framework with MongoDB's Atlas Vector Search, enabling efficient retrieval-augmented generation (RAG) and collaborative AI agents. Learn step-by-step implementation, from environment setup to agent configuration, and unlock the potential of scalable, context-aware AI solutions for complex data-driven tasks.

Multi-agent Systems With AutoGen and MongoDB

Prakul Agarwal

Detect hallucinations with Patronus AI's Lynx model and MongoDB Atlas. Use HaluBench for RAG system evaluation and implement generative AI apps. 

RAG Evaluation: Detecting Hallucinations With Patronus AI and MongoDB

This tutorial will go over how to integrate Mistral AI and MongoDB for a custom LLM genAI application.

Han Heloir

Content by Han Heloir

Multi-agent Systems With AutoGen and MongoDB

RAG Evaluation: Detecting Hallucinations With Patronus AI and MongoDB

Revolutionizing AI Interaction: Integrating Mistral AI and MongoDB for a Custom LLM GenAI Application