Concepts

Regenerate Background

Anatomy of an AI agent

How a modern LLM agent is put together: sense inputs, think (deterministic, LLM, or hybrid), act and observe in a loop, finish conditions, plus optional evaluate, memory, description, planning, chain-of-thought, ask — and how RAG grounds answers.

RAG architectures

Twelve practical retrieval-augmented generation patterns: from fixed-size and context-aware chunking and contextual retrieval to re-ranking, query expansion, multi-query, agentic and self-reflective RAG, graphs, hierarchy, late chunking, and domain-tuned embeddings — plus three stacks teams actually ship and mistakes to avoid.

Anatomy of RAG

Typical vector RAG pipeline: ingest, chunk, embed, store, query, retrieve, rerank, augment, generate — plus core components (data layer, chunking, embeddings, storage, retriever, generator).

LLM Engines

Reference list of LLM and embedding models by provider: OpenAI, Google, Cohere, Voyage AI, Qwen, DeepSeek, Kimi. Generative models, reasoners, embeddings, rerankers.

Agent loop patterns

Nine ReAct-style agent loop patterns: think–act–observe and extensions — dialogue, description, multi-tool, reflection, memory, planning, chain-of-thought, and learning — with pros, cons, and model notes.

Production Agent-RAG Architectures

Enterprise knowledge copilot as agentic RAG: ingest and hybrid retrieval, optional ReAct, grounding and citations — workflow, typical tools, and when it fits.

Model Context Protocol (Anthropic)

The Model Context Protocol (MCP) as defined by Anthropic is a standardized client–server protocol and runtime ecosystem for connecting AI applications to external tools, data sources, and prompts. It is not an architectural pattern for designing agents; it is the concrete protocol and specification that enables applications like Claude, Cursor, and other MCP clients to discover and use Resources, Tools, and Prompts exposed by MCP servers.

Concepts

Anatomy of an AI agent

RAG architectures

Anatomy of RAG

LLM Engines

Agent loop patterns

Production Agent-RAG Architectures

Model Context Protocol (Anthropic)

Conversational React Description

Model Context Protocol - An Architectural Pattern

Prompt injection

Reflexion actor

Zero Shot React Description