Unverified50% confidenceFactExact time
When vector retrieval recalls information, the system converts the current question into a vector, looks up in the database the several historical records with the closest distance, and injects them into the prompt.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
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Related Claims
Unverified语义缓存通过计算新查询与历史查询的向量相似度，当超过阈值时直接返回缓存答案，GPTCache等工具实现了该机制73% similarUnverifiedThe underlying technology of a memory management layer typically involves embedding models, approximate nearest neighbor search in vector databases, metadata filtering, and temporal decay mechanisms.73% similarUnverifiedHindsight-type memory components typically rely on vector databases, converting events into high-dimensional vectors via embedding models and retrieving them using cosine similarity or approximate nearest-neighbor algorithms.71% similarUnverifiedAfter receiving a query, the query-driven planner determines what evidence is needed, whether the evidence is already in memory, and if not, which historical frames need to be revisited, outputting an evidence acquisition path rather than an answer.70% similarUnverifiedMost current memory systems equally pack all historical information into a vector store, losing the temporal structure of states.70% similar
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