Harald Klinke<p>Neo4j treibt mit GraphRAG, Vektor-Indizes & 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>