[KongchangAI]
Verified80% confidenceFactExact time

Semantic search converts text into high-dimensional vectors and finds the most relevant conclusions by computing cosine similarity, allowing queries phrased in different ways to match semantically equivalent results.

6
Sources
80%
Confidence
Long-term
Relevance
7/13/2026
First Seen

Sources

Hombre:Honcho AI记忆服务器的开源可视化仪表盘

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Stable URI
https://kongchang.com/claim/502938
API
curl https://kongchang.com/api/v1/knowledge/claims/502938
MCP
get_claim(id=502938)