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How AI Agents Remember Long Term Vector Databases + RAG
How do AI agents get long-term memory or access to your documents? A vector database. The short version: you convert your data into embeddings (numerical representations of meaning), store them, then give the agent a search tool so it pulls only the relevant information for whatever you're asking. This pattern is called RAG (retrieval augmented ...
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