Memory & knowledge.
Which memory strategy fits which problem — RAG, knowledge graph, tabular, the 5 memory types. 4 articles total — teasers free, full field guide after a free sign-up.
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Pick the Right Memory for Your Agent
A decision framework for agent long-term memory — maps three retrieval architectures (Vector RAG, Knowledge Graphs, Tabular/SQL) to data shape and agent reasoning patterns, with a five-question flowchart and head-to-head comparison table.
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Knowledge Graphs — Agent Memory Deep Dive
Knowledge Graph deep dive — covers entity extraction, relationship modelling, graph traversal for multi-hop reasoning, and when a graph outperforms RAG for structured knowledge.
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Vector RAG — Agent Memory Deep Dive
Vector RAG deep dive — covers embeddings, chunk strategies, semantic search, retrieval quality, and the concrete failure modes that make agents hallucinate.
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Tabular / SQL — Agent Memory Deep Dive
Tabular/SQL memory deep dive — covers text-to-SQL approaches, structured data schemas, transaction patterns, and when relational retrieval outperforms semantic search for agents.
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