Unverified50% confidenceFactExact time
Long-term memory can be updated to a vector database, which is a RAG implementation that works together with an external file system to support an Agent's state management.
1
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50%
Confidence
Long-term
Relevance
9/15/2026
First Seen
Sources
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Verified长期记忆Agent通常基于RAG（检索增强生成）技术构建，通过向量数据库将信息转化为高维向量并持久化存储80% similarVerifiedTechnical implementation paths for shared memory systems include structured storage in relational databases, semantic storage in vector databases, and a hybrid architecture combining graph databases with vector indexing.78% similarUnverifiedThere are generally two approaches to implementing persistent memory: the vector database approach (retrieving by semantic similarity) and the structured storage approach (saving in key-value pair format).77% similarUnverifiedRAG introduces external document storage as non-parametric memory, working in conjunction with parametric memory to address the knowledge cutoff date and hallucination problems of large language models.77% similar
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