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AI Architecture

How Vector Databases Actually Work: HNSW, ANN, and Retrieval Architecture

Vector databases are not magic. This deep-dive covers HNSW graph structure, ANN tradeoffs, index construction costs, and the retrieval pipeline behind every RAG system.

Published May 6, 2026
18 min read
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MCP connects AI models to tools via JSON-RPC 2.0 across stdio and HTTP transports. This deep-dive covers the host-client-server split, capability negotiation, the tool call state machine, and why the protocol was designed this way.

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Inside Claude Opus 4.7 Adaptive Thinking: How Effort Levels Actually Work

Adaptive thinking replaced manual budget_tokens in Claude Opus 4.7. Here's the architecture: how the five effort levels (low/medium/high/xhigh/max) map to internal token allocation, how task_budget interacts with effort, the thinking display state machine, and the design decisions behind each behavior.

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