AI 记忆现状:Markdown、向量、图数据库混合使用?

Where does AI memory actually live right now? In markdown files, vectors, graphs, a mix of all three...

精选理由

搞 AI 记忆和检索的工程师终于有个正经的技术大会了——Dave Nielsen 会拆解短期/长期记忆的真实架构,做 RAG 或智能体的团队值得去听听。

AI 摘要

Qdrant 宣布将举办 Vector Space Day 大会,聚焦 AI 记忆与检索技术。Cognee 的 Dave Nielsen 将剖析当前系统中短期与长期记忆的真实实现,指出 AI 记忆并非单一技术,而是 Markdown 文件、向量数据库和图数据库的混合体。大会还涵盖从云端到边缘的检索、多模态 AI 等话题,面向构建向量搜索、AI 记忆、上下文工程和检索基础设施的工程师。活动将于 6 月 11 日举行,现已开放售票。

原文 · Qdrant

Where does AI memory actually live right now? In markdown files, vectors, graphs, a mix of all three...

Where does AI memory actually live right now? In markdown files, vectors, graphs, a mix of all three? Dave Nielsen from @cognee_ is coming to Vector Space Day to cut through the hype and map out what short and long-term memory look like in real systems today, and where it's all heading. Vector Space Day is a full-day single-track conference for engineers going deep on retrieval and agent memory. We also have talks on retrieval from cloud to edge, and multimodal AI. If you’re building something novel in vector search, AI memory, context engineering, or retrieval infra, get your ticket for June 11: luma.com/vsd-sf 💬 0 🔄 0 ❤️ 0 👀 24 ⚡