Vector Search
3 articles about vector search.
Tiered Memory for Desktop Agents - Plain Text First, Vector Search for Long-Term
·2 min read
How desktop AI agents should handle memory: plain text for recent context and vector embeddings only for long-term recall. A practical approach to agent
memoryragembeddingsdesktop-agentvector-searchai_agents
Why Ebbinghaus Decay Curves Beat Flat Vector Stores for Agent Memory
·3 min read
Most AI agent memory systems dump everything into a vector store. Ebbinghaus decay curves offer a smarter approach - memories that naturally fade unless
ebbinghausmemoryvector-searchdecay-curvesai-agentknowledge-management
Embeddings vs Tokens - How AI Agent Memory Actually Works
·2 min read
Embeddings aren't tokens. They're dense vector representations that capture semantic meaning and power similarity search for AI agent memory retrieval.
embeddingstokensagent-memoryvector-searchai-fundamentals
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