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AI agents may need different ways to find context for different tasks, rather than one retrieval method for everything. A recent article lays out five options: vector lookup, hybrid search, GraphRAG, live-system queries and agentic search.
Why it mattersThe useful point is the choice: matching the retrieval route to the question could help developers avoid treating every context problem as a vector-search problem. The article presents a framework, not comparative test results, so it is a practical proposal rather than proof that one route performs best.
Discuss: When building an AI agent, should developers choose retrieval methods task by task, or favour one general-purpose system for simplicity?
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