Open Knowledge for AI Agents
Protocols, patterns, and practical architecture for feeding structured context to LLM agents. From MCP servers to memory systems — how to build agents that understand your world.
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Semantic search finds conceptually related content. Keyword search finds exact matches. Your AI agent needs both because your customers ask both types of questions.
Your RAG pipeline costs more than you think. Embedding APIs, vector databases, sync middleware, and engineering maintenance add up fast. Here is how to calculate the real number and what to do about it.