developer-roadmap/src/data/roadmaps/ai-engineer/content/external-memory@KWjD4xEPhOOYS51dvRLd2.md

External Memory for LLMs

External memory refers to the techniques used to provide Large Language Models (LLMs) with access to information that is not stored directly within their parameters. This allows LLMs to access and utilize a much broader and more up-to-date knowledge base than what was available during their training. By using external memory, LLMs can overcome limitations related to knowledge cut-off, hallucination, and the inability to incorporate new information, leading to more accurate, reliable, and contextually relevant respons

Visit the following resources to learn more:

• @article@Context Engineering - LLM Memory and Retrieval for AI Agents
• @article@4 context engineering strategies every AI engineer needs to know