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Michael Simons<p>I like what we achieved with the <a href="https://mastodon.social/tags/JDBC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JDBC</span></a> driver for <a href="https://mastodon.social/tags/Neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4j</span></a>… Also, the demos are so nice on the module path with <a href="https://mastodon.social/tags/Java24" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Java24</span></a> </p><p><a href="https://github.com/neo4j/neo4j-jdbc/releases/tag/6.7.0" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/neo4j/neo4j-jdbc/re</span><span class="invisible">leases/tag/6.7.0</span></a></p>
Andreas Scherbaum<p>Today is the DBA Appreciation Day!</p><p>Bring your DBAs a cake and a coffee, please. And don't drop any tables in production, pretty please. It's weekend ...</p><p><a href="https://mastodon.social/tags/PostgreSQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PostgreSQL</span></a> <a href="https://mastodon.social/tags/SQLServer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SQLServer</span></a> <a href="https://mastodon.social/tags/Oracle" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Oracle</span></a> <a href="https://mastodon.social/tags/DB2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DB2</span></a> <a href="https://mastodon.social/tags/MySQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MySQL</span></a> <a href="https://mastodon.social/tags/MariaDB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MariaDB</span></a> <a href="https://mastodon.social/tags/Snowflake" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Snowflake</span></a> <a href="https://mastodon.social/tags/SQLite" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SQLite</span></a> <a href="https://mastodon.social/tags/Neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4j</span></a> <a href="https://mastodon.social/tags/Teradata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Teradata</span></a> <a href="https://mastodon.social/tags/SAPHana" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SAPHana</span></a> <a href="https://mastodon.social/tags/Aerospike" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Aerospike</span></a> <a href="https://mastodon.social/tags/ApacheSpark" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ApacheSpark</span></a> <a href="https://mastodon.social/tags/Clickhouse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Clickhouse</span></a> <a href="https://mastodon.social/tags/Informix" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Informix</span></a> <a href="https://mastodon.social/tags/WarehousePG" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WarehousePG</span></a> <a href="https://mastodon.social/tags/Greenplum" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Greenplum</span></a> <a href="https://mastodon.social/tags/Adabas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Adabas</span></a></p>
DB-Engines<p>DB-Engines Ranking climbers of the month:</p><p>1. <a href="https://techhub.social/tags/Databricks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Databricks</span></a> </p><p>2. <a href="https://techhub.social/tags/Neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4j</span></a> <span class="h-card" translate="no"><a href="https://mastodon.tech/users/neo4j" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>neo4j</span></a></span> </p><p>3. IBM DB2</p>
Harald Klinke<p>New case study on how LLMs support knowledge graph creation for historical bookbinding:<br>“Stitching History into Semantics” presents BookBindKG, a Neo4j-based framework for documenting 19th-century Greek bookbinding with LLM-generated ontologies, Cypher queries, and semantic reasoning.<br>Open access: <a href="https://www.mdpi.com/2504-4990/7/3/59" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">mdpi.com/2504-4990/7/3/59</span><span class="invisible"></span></a></p><p><a href="https://det.social/tags/KnowledgeGraphs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KnowledgeGraphs</span></a> <a href="https://det.social/tags/DigitalHumanities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DigitalHumanities</span></a> <a href="https://det.social/tags/CulturalHeritage" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CulturalHeritage</span></a> <a href="https://det.social/tags/BookHistory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BookHistory</span></a> <a href="https://det.social/tags/AIforHumanities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIforHumanities</span></a> <a href="https://det.social/tags/Neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4j</span></a> <a href="https://det.social/tags/OntologyEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OntologyEngineering</span></a> <a href="https://det.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://det.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://det.social/tags/openaccess" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>openaccess</span></a></p>
MILA<p>🕮 Check out our new publication about mdm2neo4j: Generating Graph Representations of Medical Data Models!<br>To learn more about the project, visit our website at <a href="https://www.medizin.uni-greifswald.de/medizininformatik/research/current-projects/mdm2neo4j/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">medizin.uni-greifswald.de/medi</span><span class="invisible">zininformatik/research/current-projects/mdm2neo4j/</span></a>.<br>Find the publication here: <a href="https://doi.org/10.3233/SHTI250424" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.3233/SHTI250424</span><span class="invisible"></span></a></p><p><a href="https://fediscience.org/tags/graph" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>graph</span></a> <a href="https://fediscience.org/tags/database" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>database</span></a> <a href="https://fediscience.org/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://fediscience.org/tags/neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neo4j</span></a> <a href="https://fediscience.org/tags/mdm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mdm</span></a></p>
Michael Simons<p>What an experience! 🤩 thanks <a href="https://mastodon.social/tags/Neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4j</span></a> and colleagues for supporting us.</p>
Bert<p>Exploring a <a href="https://chaos.social/tags/jQAssistent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>jQAssistent</span></a> graph with <a href="https://chaos.social/tags/yWorks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>yWorks</span></a> is such a pleasure.</p><p>I put <a href="https://chaos.social/tags/Neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4j</span></a> into <a href="https://chaos.social/tags/Neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4j</span></a> :-)</p>
Habr<p>Почему граф в RAG работает лучше, чем вы думаете… но не так, как вам рассказали</p><p>В RAG-решениях все чаще обращаются к графовым базам данных. В этой статье я опишу своё мнение относительно того, в каких ситуациях графовые базы данных действительно оправданы в RAG, а в каких стоит остаться на традиционном векторном подходе. Это может быть полезно для разработчиков и исследователей, которые ищут оптимальные инструменты для построения RAG-решений и хотят понять, когда графовые базы данных могут помочь в их задачах.</p><p><a href="https://habr.com/ru/companies/mts_ai/articles/915276/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/mts_ai/a</span><span class="invisible">rticles/915276/</span></a></p><p><a href="https://zhub.link/tags/rag" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rag</span></a> <a href="https://zhub.link/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://zhub.link/tags/neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neo4j</span></a> <a href="https://zhub.link/tags/%D0%B1%D0%B0%D0%B7%D1%8B_%D0%B4%D0%B0%D0%BD%D0%BD%D1%8B%D1%85" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>базы_данных</span></a> <a href="https://zhub.link/tags/%D0%B3%D1%80%D0%B0%D1%84%D0%BE%D0%B2%D1%8B%D0%B5_%D0%B1%D0%B0%D0%B7%D1%8B_%D0%B4%D0%B0%D0%BD%D0%BD%D1%8B%D1%85" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>графовые_базы_данных</span></a></p>
Michael Simons<p>I really like the latest feature of the <a href="https://mastodon.social/tags/Neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4j</span></a> <a href="https://mastodon.social/tags/JDBC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JDBC</span></a> driver: client side Cypher backed views.</p><p>We will load view definitions written in Cypher into the driver, present them in the <a href="https://mastodon.social/tags/database" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>database</span></a> <a href="https://mastodon.social/tags/metadata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>metadata</span></a>, all tooling can query them via SQL and under the hood, they will execute as Cypher including predicate pushdown inside the Neo4j <a href="https://mastodon.social/tags/dbms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dbms</span></a>.</p><p><a href="https://github.com/neo4j/neo4j-jdbc/releases/tag/6.5.0" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/neo4j/neo4j-jdbc/re</span><span class="invisible">leases/tag/6.5.0</span></a></p>
Orbifold Consulting<p>All about the Model Context Protocol (MCP) in the realm of graph databases and analytics. Enhancing data relationships and queries within the Neo4j ecosystem by understanding MCP, you can optimize data retrieval processes and improve the efficiency of complex network analyses. Delving into MCP offers insights into how contextual data can be effectively harnessed to drive more informed decision-making and innovative solutions. <a href="https://mastodon.social/tags/GraphDatabase" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GraphDatabase</span></a> <a href="https://mastodon.social/tags/DataAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataAnalytics</span></a> <a href="https://mastodon.social/tags/Neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4j</span></a><br><a href="https://neo4j.com/blog/developer/model-context-protocol/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">neo4j.com/blog/developer/model</span><span class="invisible">-context-protocol/</span></a></p>
Michael Simons<p>Completely unplanned, and I did actually liked, a spontaneous appearance at the @foojay.io podcast:</p><p><a href="https://www.linkedin.com/video/live/urn:li:ugcPost:7327969764264341505/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">linkedin.com/video/live/urn:li</span><span class="invisible">:ugcPost:7327969764264341505/</span></a></p><p><a href="https://mastodon.social/tags/Java" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Java</span></a> <a href="https://mastodon.social/tags/Foojay" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Foojay</span></a> <a href="https://mastodon.social/tags/Cypher" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cypher</span></a> <a href="https://mastodon.social/tags/Neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4j</span></a> <a href="https://mastodon.social/tags/SQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SQL</span></a> <a href="https://mastodon.social/tags/ObjectMappers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ObjectMappers</span></a></p>
Tane Piper ⁂<p>Since this would have been part of procurement planning before the current admin, I'm absolutely not surprised. I like <a href="https://tane.codes/tags/Neo4J" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4J</span></a> but they charge *way* too much for their product</p><p><a href="https://www.theregister.com/2025/05/07/nasa_people_memgraph/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">theregister.com/2025/05/07/nas</span><span class="invisible">a_people_memgraph/</span></a></p>
Paul King<p>Slides for my GraphDB Sydney Meetup presentation:<br><a href="https://speakerdeck.com/paulk/groovy-graphdb" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">speakerdeck.com/paulk/groovy-g</span><span class="invisible">raphdb</span></a><br><a href="https://foojay.social/tags/apachetinkerpop" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>apachetinkerpop</span></a> <a href="https://foojay.social/tags/apacheage" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>apacheage</span></a> <a href="https://foojay.social/tags/apachehugegraph" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>apachehugegraph</span></a> <a href="https://foojay.social/tags/neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neo4j</span></a> <a href="https://foojay.social/tags/AntGroup" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AntGroup</span></a> <a href="https://foojay.social/tags/OrientDB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OrientDB</span></a> <a href="https://foojay.social/tags/ArcadeDB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArcadeDB</span></a> <a href="https://foojay.social/tags/groovy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>groovy</span></a>-lang <br><span class="h-card" translate="no"><a href="https://fosstodon.org/@ApacheGroovy" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>ApacheGroovy</span></a></span> <a href="https://foojay.social/tags/GraphQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GraphQL</span></a></p>
Harald Klinke<p>Neo4j treibt mit GraphRAG, Vektor-Indizes &amp; Agentic RAG die <a href="https://det.social/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KI</span></a>-Entwicklung voran. Ob <a href="https://det.social/tags/LangChain" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LangChain</span></a>, <a href="https://det.social/tags/LlamaIndex" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LlamaIndex</span></a>, <a href="https://det.social/tags/SpringAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SpringAI</span></a> oder <a href="https://det.social/tags/VertexAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VertexAI</span></a> – das neue Python-Paket und das Model Context Protocol (MCP) verknüpfen Graphdaten nahtlos mit <a href="https://det.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a>-Anwendungen.<br><a href="https://det.social/tags/Neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4j</span></a> <a href="https://det.social/tags/GenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenAI</span></a> <a href="https://det.social/tags/RAG" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RAG</span></a> <a href="https://det.social/tags/GraphQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GraphQL</span></a> <a href="https://det.social/tags/Cypher" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cypher</span></a> <a href="https://det.social/tags/VectorSearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VectorSearch</span></a> <a href="https://det.social/tags/AgenticAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AgenticAI</span></a><br><a href="https://www.bigdata-insider.de/leistungssprung-bei-graph-datenbanken-mit-ki-integration-cloud-skalierung-und-terabyte-graphen-a-2307ed20cfaf562a1a0094b712b5be95/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">bigdata-insider.de/leistungssp</span><span class="invisible">rung-bei-graph-datenbanken-mit-ki-integration-cloud-skalierung-und-terabyte-graphen-a-2307ed20cfaf562a1a0094b712b5be95/</span></a></p>
Glenn Engstrand<p>If you are curious about the inner workings of <a href="https://fosstodon.org/tags/cassandra" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cassandra</span></a>, <a href="https://fosstodon.org/tags/debezium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>debezium</span></a>, <a href="https://fosstodon.org/tags/druid" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>druid</span></a>, <a href="https://fosstodon.org/tags/elasticsearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>elasticsearch</span></a>, <a href="https://fosstodon.org/tags/lucene" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lucene</span></a>, <a href="https://fosstodon.org/tags/kafka" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>kafka</span></a>, <a href="https://fosstodon.org/tags/neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neo4j</span></a>, or <a href="https://fosstodon.org/tags/spark" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spark</span></a> then check out <a href="https://glennengstrand.info/software/opensource/analysis" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">glennengstrand.info/software/o</span><span class="invisible">pensource/analysis</span></a> which presents a static code analysis of these eight open source giants.</p>
Habr<p>Neo4j. Графовая СУБД для RAG и не только</p><p>Графовые СУБД, пожалуй, одни из самых специализированных хранилищ, существующих на корпоративном рынке. Neo4j при этом яркий представитель этой категории. C Neo4j я познакомился ещё в далеком 2018-м году, в рамках задачи создания более приятной системы корпоративных знаний чем классические Wiki (некий такой корпоративный Obsidian), ну или основные его части. Это сейчас вы можете радоваться всем благам цивилизации, а в то далёкое время нам надо было очень внимательно относиться к структуре корпоративной базы знаний, т.к. даже поисковые алгоритмы часто оставляли желатель лучшего. Никакого вам ранжирования статей в выдаче по просмотрам и времени создания. Но вцелом с точки зрения базы знаний даже текущие варианты Wiki с ранжированием статей, отображением связанных, последних просмотренных, которые смотрят вместе и т.п. всё равно не решает вопрос оперативного поиска информации. А вот граф - уже другая история. Использовали Obsidian? Понравилось представление информации связаннх заметок? Особенно если качественно проставлять связи. Собсвтенно именно таким образом мы обычно и оперируем информацией. Табличная модель конечно удобна, но несколько более синтетическая история, которую придумали чтобы упростить себе жизнь, потому как оперировать графами технически всё-таки более сложная история.</p><p><a href="https://habr.com/ru/articles/896626/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/896626/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/Neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4j</span></a> <a href="https://zhub.link/tags/%D0%B3%D1%80%D0%B0%D1%84%D0%BE%D0%B2%D1%8B%D0%B5_%D0%B1%D0%B4" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>графовые_бд</span></a> <a href="https://zhub.link/tags/%D0%B3%D1%80%D0%B0%D1%84%D0%BE%D0%B2%D1%8B%D0%B5_%D0%B1%D0%B0%D0%B7%D1%8B_%D0%B4%D0%B0%D0%BD%D0%BD%D1%8B%D1%85" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>графовые_базы_данных</span></a> <a href="https://zhub.link/tags/rag" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rag</span></a></p>
LLMsAgentic GraphRAG for Commercial Contracts Structuring legal information as a knowledge graph to i...<br><br><a href="https://towardsdatascience.com/agentic-graphrag-for-commercial-contracts/" rel="nofollow noopener" target="_blank">https://towardsdatascience.com/agentic-graphrag-for-commercial-contracts/</a><br><br><a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Large" target="_blank">#Large</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Language" target="_blank">#Language</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Models" target="_blank">#Models</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Deep" target="_blank">#Deep</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Dives" target="_blank">#Dives</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Graphrag" target="_blank">#Graphrag</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Llm" target="_blank">#Llm</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Agent" target="_blank">#Agent</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Neo4j" target="_blank">#Neo4j</a> <a rel="nofollow noopener" class="mention hashtag" href="https://mastodon.social/tags/Rag" target="_blank">#Rag</a><br><br><a href="https://awakari.com/pub-msg.html?id=6wFtrQlaRLoCJrA7TvzmAgyCWG0" rel="nofollow noopener" target="_blank">Event Attributes</a>
Alan Buxton<p><a href="https://mastodon.online/tags/neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neo4j</span></a> subquery might make it easier to get something working - but in this case it was dog slow compared to rewriting without subquery</p><p><a href="https://alanbuxton.wordpress.com/2025/03/30/fun-with-neo4j-subqueries/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">alanbuxton.wordpress.com/2025/</span><span class="invisible">03/30/fun-with-neo4j-subqueries/</span></a></p>
sergio_101<p>Awhile back, I created a web app to find concerts pof bands featured on <a href="https://social.sixdegreesofohio.com/tags/BagelRadio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BagelRadio</span></a> . I found it amazingly useful. I am not thinking that I would love to have something like this for other concerts.</p><p>I am thinking of creating a general-purpose database for events and different views of the data for different interests. One that comes to mind is artists featured here on Six Degrees of Ohio.</p><p>This would also allow me to play with a <a href="https://social.sixdegreesofohio.com/tags/GraphDatabase" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GraphDatabase</span></a> like <a href="https://social.sixdegreesofohio.com/tags/Neo4J" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4J</span></a> while i am at it.</p>
sergio_101<p>So, I've been learning <a href="https://social.sixdegreesofohio.com/tags/GraphDatabases" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GraphDatabases</span></a> with <a href="https://social.sixdegreesofohio.com/tags/Neo4j" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neo4j</span></a> this week. I think it would be SUPER fun to recursivlely do an mheard on all the <a href="https://social.sixdegreesofohio.com/tags/PacketRadio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PacketRadio</span></a> nodes, to help establish paths around the country.</p>
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