AI SparkupGraphRAG로 AI가 드디어 ‘진짜 똑똑해졌다’ – 기업들이 열광하는 이유
기존 RAG의 한계를 극복한 GraphRAG 기술이 어떻게 작동하며, 실제 기업들이 어떤 성과를 내고 있는지, 그리고 우리 회사에서는 어떻게 도입할 수 있는지 실용적으로 설명한 완전 정복 가이드
HabrSemantic RAG – как научить AI-ассистентов понимать, а не угадывать
Одна из самых распространённых задач для AI-ассистента — поиск ответов на вопросы. Пользователи ожидают, что он сможет находить информацию во внутренних wiki, базах знаний техподдержки, Word-документах, Excel-файлах и других корпоративных источниках. Сегодня такой поиск чаще всего реализуется с помощью подхода Retrieval-Augmented Generation (RAG). Суть проста: сначала ассистент находит фрагменты документов, которые кажутся релевантными запросу, и уже на их основе формирует связанный ответ. На первый взгляд схема выглядит логичной. Но на практике у классического RAG есть целый ряд ограничений, которые быстро дают о себе знать при реальных внедрениях. В этой статье мы разберём основные проблемы и покажем, как можно их обойти.
Gareth Lloyd (He/him)It is a good feeling when you can unlock performance gains with some simple changes. Memgraph performance was already great, but keeps getting better.
GripNews🌘 使用圖形資料庫打擊犯罪：Memgraph 如何繪製與分析犯罪網路
➤ 圖形資料庫如何應用於打擊犯罪
✤ https://memgraph.com/blog/graph-databases-crime-fighting-memgraph-criminal-networks
圖形資料庫（如Memgraph）在犯罪打擊和情報工作中非常有效，因為它們擅長揭示和分析實體之間的關係，如個人、溝通渠道和地點。圖形資料庫在解決複雜犯罪組織網絡的映射和分析上發揮著重要作用，尤其在反恐和反情報行動中。這篇博客探討圖形資料庫在犯罪打擊中的應用，以及Memgraph的功能如何使其成為繪製和分析這些複雜網絡的理想工具。
+ 這篇文章很清晰地講解了圖形資料庫在犯罪打擊中的應用，很有啟發性。
+ Memgraph的即時數據處理和高效率並行查詢功能，為打擊犯罪提供了實用工具，值得廣泛應用在執法領域中。
#犯罪打擊 #圖形資料庫 #Memgraph
➤ 圖形資料庫如何應用於打擊犯罪
✤ https://memgraph.com/blog/graph-databases-crime-fighting-memgraph-criminal-networks
圖形資料庫（如Memgraph）在犯罪打擊和情報工作中非常有效，因為它們擅長揭示和分析實體之間的關係，如個人、溝通渠道和地點。圖形資料庫在解決複雜犯罪組織網絡的映射和分析上發揮著重要作用，尤其在反恐和反情報行動中。這篇博客探討圖形資料庫在犯罪打擊中的應用，以及Memgraph的功能如何使其成為繪製和分析這些複雜網絡的理想工具。
+ 這篇文章很清晰地講解了圖形資料庫在犯罪打擊中的應用，很有啟發性。
+ Memgraph的即時數據處理和高效率並行查詢功能，為打擊犯罪提供了實用工具，值得廣泛應用在執法領域中。
#犯罪打擊 #圖形資料庫 #Memgraph
SevorisAnyone here have experience with the #memgraph GQLAlchemy builder system and knows how one might pass significant amounts of constraint information (i.e. match a few hundred nodes by unique ID) into them?
I am glancing around at some fun data query stuff, but if I can't pass constrained subsets of the graphs around between query modules, it's all kind of a wash.
#memgraph the company I work for has a senior C++ opening. If it is a good fit for you or someone you know, I'd love to see yours or your friend's application.
https://join.com/companies/memgraph/11845427
Please boost for reach.
I don't often post about work, but its worth sharing and celebrating from time to time.
A small team, including myself, have worked for a while to improve replication and introduce high availability to #memgraph
It is now at a stage which is developer ready. There maybe some future small changes to be done around UX but the majority of the work is done.
🥳 A big milestone 🚀
https://memgraph.com/blog/announcing-memgraph-high-availability-automatic-failover-developer-ready
Announcing Memgraph's High Availability Automatic Failover: Developer-Ready
Ensure continuous uptime and top performance with Memgraph’s High Availability Automatic Failover. It guarantees resilience and real-time support for your applications. Ideal for critical business applications requiring constant data availability and integrity.
We are looking for a staff level software engineer to join us at #memgraph.
Please have a look at our job description.
https://join.com/companies/memgraph/10585840-staff-software-engineer-database-internals-c
Jakob VoßKùzu is another open source property graph database management system with support of Cypher query language just like #neo4j and #memgraph (and Oracle with PGQL): https://kuzudb.com/
Kevin Cunningham (dolearning)Really enjoyed working through this tutorial that gets Memgraph running locally and explores queries on a map of Berlin's subway.
Asks real questions that tell meaningful things about the syntax and environment.
https://memgraph.com/blog/riding-the-berlin-subway-graph-database-adventure-with-memgraph-lab
