Vector Search

3 articles about vector search.

Tiered Memory for Desktop Agents - Plain Text First, Vector Search for Long-Term

March 18, 2026·2 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

March 17, 2026·3 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

March 17, 2026·2 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

Vector Search

Tiered Memory for Desktop Agents - Plain Text First, Vector Search for Long-Term

Why Ebbinghaus Decay Curves Beat Flat Vector Stores for Agent Memory

Embeddings vs Tokens - How AI Agent Memory Actually Works

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