Architecting Production Multi-Agent Systems with LangGraph, Model Context Protocol (MCP) & Cohere Rerank 3

Single-prompt LLMs fail on complex multi-step reasoning tasks. Learn how LangGraph manages stateful agent graphs with human-in-the-loop checkpoints, while the Model Context Protocol (MCP) standardizes context retrieval and tool execution.

1. Hybrid BM25 + Vector Search with Reciprocal Rank Fusion (RRF)

# RRF Ranking Formula
RRF_Score(doc) = sum( 1 / (60 + rank_dense(doc)) + 1 / (60 + rank_sparse(doc)) )

2. Interactive AI Visualizers

• ⚡ Interactive Neural Network Particle Simulator
• ⚡ CNN 3x3 Spatial Convolution Filter Kernel Studio
• ⚡ LLM Tokenizer & Self-Attention Matrix Heatmap