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Harald KlinkeNeo4j treibt mit GraphRAG, Vektor-Indizes & Agentic RAG die <a href="https://det.social/tags/KI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#KI</a>-Entwicklung voran. Ob <a href="https://det.social/tags/LangChain" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LangChain</a>, <a href="https://det.social/tags/LlamaIndex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LlamaIndex</a>, <a href="https://det.social/tags/SpringAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SpringAI</a> oder <a href="https://det.social/tags/VertexAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#VertexAI</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 noreferrer" target="_blank">#LLM</a>-Anwendungen. <a href="https://det.social/tags/Neo4j" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neo4j</a> <a href="https://det.social/tags/GenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GenAI</a> <a href="https://det.social/tags/RAG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RAG</a> <a href="https://det.social/tags/GraphQL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GraphQL</a> <a href="https://det.social/tags/Cypher" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Cypher</a> <a href="https://det.social/tags/VectorSearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#VectorSearch</a> <a href="https://det.social/tags/AgenticAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AgenticAI</a> <a href="https://www.bigdata-insider.de/leistungssprung-bei-graph-datenbanken-mit-ki-integration-cloud-skalierung-und-terabyte-graphen-a-2307ed20cfaf562a1a0094b712b5be95/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.bigdata-insider.de/leistungssprung-bei-graph-datenbanken-mit-ki-integration-cloud-skalierung-und-terabyte-graphen-a-2307ed20cfaf562a1a0094b712b5be95/</a>

Markus Eisele🔥 Docling: AI-powered document processing! 🔥 🤯 PDFs & DOCXs in your AI workflow? Docling makes it easy! Converts to markdown & JSON for RAG and more. Blazing fast! 🚀<a href="https://youtu.be/zSCxbqgqeJ8?si=mede5eJL_iGRFwAJ" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://youtu.be/zSCxbqgqeJ8?si=mede5eJL_iGRFwAJ</a><a href="https://mastodon.online/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://mastodon.online/tags/Docling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Docling</a> <a href="https://mastodon.online/tags/DocumentProcessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DocumentProcessing</a> <a href="https://mastodon.online/tags/OpenSource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenSource</a> <a href="https://mastodon.online/tags/RAG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RAG</a> <a href="https://mastodon.online/tags/LlamaIndex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LlamaIndex</a> <a href="https://mastodon.online/tags/Efficiency" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Efficiency</a> <a href="https://mastodon.online/tags/Workflows" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Workflows</a>

OpenLink SoftwareVirtuoso Open Source (VOS) 7.2.14 is out!Our high-performance, multi-model <a href="https://mastodon.social/tags/VirtuosoRDBMS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#VirtuosoRDBMS</a> supports:• Relational tables & graphs • <a href="https://mastodon.social/tags/SQL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SQL</a>, <a href="https://mastodon.social/tags/SPARQL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SPARQL</a> & <a href="https://mastodon.social/tags/GraphQL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GraphQL</a> • Seamless AI integration w/ <a href="https://mastodon.social/tags/LangChain" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LangChain</a> & <a href="https://mastodon.social/tags/LlamaIndex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LlamaIndex</a> via <a href="https://mastodon.social/tags/HTTP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HTTP</a>, <a href="https://mastodon.social/tags/ODBC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ODBC</a>, or <a href="https://mastodon.social/tags/JDBC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#JDBC</a> 🧵Read on for links etc..

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