[KongchangAI]
Verified70% confidenceFactExact time

Vector databases convert text into high-dimensional floating-point vectors of 768 to 3072 dimensions and use approximate nearest neighbor algorithms to retrieve by cosine similarity.

4
Sources
70%
Confidence
Long-term
Relevance
7/12/2026
First Seen

Sources

AI持久记忆三层架构详解:Mem0、Zep与ContextNest深度对比
hackernewshackernews7/3/2026

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Stable URI
https://kongchang.com/claim/489881
API
curl https://kongchang.com/api/v1/knowledge/claims/489881
MCP
get_claim(id=489881)