RAG and Agents Index

Architectures that extend foundation models with retrieval and tools.

Notes

RAG Architecture — Retrieval-augmented generation system design, chunking, embedding, and reranking.
Vector Stores — Embedding databases, ANN indexing, and Chroma/FAISS/Pinecone comparison.
Agentic Loop — Thought-action-observation loops, ReAct, planning, memory, and agent failure modes.
Function Calling — Tool-use patterns via structured LLM function calling and the OpenAI tools API.
Multi-Agent Systems — Orchestrator-worker patterns, CrewAI, and multi-agent coordination strategies.
DSPy Systematic Prompting — Declarative prompt programming and automated optimisation with DSPy.