Visualizers
Learn by moving things
Interactive explainers for the ideas behind retrieval, embeddings, and agents. A formula tells you what is true; dragging a vector shows you why. Each one also appears inside the article it belongs to, and runs entirely in your browser, so drag, poke, and break it.
Contextual compression
From: A Field Guide to RAG →A retrieved chunk is on-topic but mostly padding for any one question. Contextual compression keeps only the sentences that actually answer it and drops the rest, so the prompt fills with signal instead of filler.
The retrieved chunk is on-topic but mostly padding for this exact question. Sending all of it wastes prompt budget.
Graph vs flat retrieval
From: Beyond the Vector →Some questions cannot be answered by one passage. Toggle between vector retrieval (returns the closest chunk and stops) and graph retrieval (follows the connections to a multi-hop answer).
One MCP session
From: A Field Guide to MCP →Step through the lifecycle every MCP connection runs: negotiate capabilities, discover the tools, call one, read the result. The sameness is why one client can talk to any server.