AI Architecture & Engineering Knowledge Hub
Technical reference specifications for Model Context Protocol (MCP), ReAct Agent loops, RAG pipelines, and AI security guardrails.
Generative AI & LLMs
Transformers, tokens, context windows, and fine-tuning
Autonomous ReAct Agents
Reasoning loops, multi-step planning, and tool calling
Model Context Protocol (MCP)
Open standard for connecting AI models to data servers
RAG & Vector Databases
Embeddings, cosine similarity, vector indexing, retrieval
AI Security & Guardrails
Prompt injection, data leakage, and jailbreak defense
AI Agent ReAct & Tool Execution Loop
Interactive architectural visualization of LLM reasoning, state observation, and MCP tool execution
1. User Query
"Check Cloudflare status & logs"
2. Reasoning Loop
Determines missing context & selects tool
3. MCP Tool Call
Invokes fetch_logs() via JSON-RPC
4. Grounded Result
Outputs verified diagnosis & fix
AI Technical Reference Directory
Code examples, JSON schemas, protocol specs, and security guardrails
Model Context Protocol (MCP) Architecture
The open standard enabling AI models to securely connect to external tools, databases, APIs, and file repositories.
Retrieval-Augmented Generation (RAG) Architecture
Enhancing LLM responses by fetching grounded context from private document databases before inference.
Prompt Injection Defense & LLM Security
Defending LLMs and AI Agents against indirect prompt injection, jailbreaks, and unauthorized tool execution.