[KongchangAI]
Unverified50% confidenceFactExact time

Semantic Memory stores conversation content in a vector database via Embedding and recalls it by semantic similarity at retrieval time; its pipeline is the same as RAG, except that the knowledge source is historical conversation rather than external documents.

1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen

Sources

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Stable URI
https://kongchang.com/claim/1060559
API
curl https://kongchang.com/api/v1/knowledge/claims/1060559
MCP
get_claim(id=1060559)