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title: How AI Agents Remember Long Term Vector Databases + RAG
description: A brief explanation of how AI agents use vector databases and RAG (Retrieval Augmented Generation) for long-term memory. Data is converted into embeddings —...
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# How AI Agents Remember Long Term Vector Databases + RAG

**[Tech With Tim](https://daily.dev/sources/TechWithTim)** · 1 min read · 0 upvotes · 0 comments

## Summary

A brief explanation of how AI agents use vector databases and RAG (Retrieval Augmented Generation) for long-term memory. Data is converted into embeddings — numerical representations of meaning — stored in a vector database, and agents can search it to retrieve only relevant information. This pattern enables agents to answer questions about documents and recall long-term facts even when the context window is full.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=1468HyDi5Yw>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search), [#embeddings](https://daily.dev/tags/embeddings)

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