A knowledge storage system that allows AI agents to remember and recall information based on meaning rather than exact keywords. Semantic memory uses vector embeddings to store and retrieve contextually relevant information, enabling agents to maintain long-term context across conversations and channels.
Related Terms
RAG (Retrieval-Augmented Generation)
A technique that enhances LLM responses by retrieving relevant information from external knowledge bases before generating an answer. RAG grounds AI responses in real, up-to-date data — reducing hallucinations and enabling agents to answer questions about proprietary or domain-specific content.
AI Agent
An autonomous software system powered by a large language model (LLM) that can perceive its environment, make decisions, and take actions to achieve specific goals. Unlike simple chatbots, AI agents can use tools, access external data, maintain context across interactions, and chain multiple reasoning steps together.