Read how to increase the performance of your graph queries and improve the contextual relevance of your semantic RAG systems with native support for the graph shortest path algorithm in Progress MarkLogic Server 12.
In R&D, the true power of AI like ChatGPT lies not in clever prompts, but in context engineering: the discipline of shaping and delivering the accurate information from a company’s vast knowledge base so AI can deliver meaningful, domain-specific insights.
MarkLogic Server 12 enables you to speed innovation and power intelligent search experiences with native vector search, new relevance algorithms, optimized query scaling and more.
Explore steps to integrate an AI-powered chatbot into your semantic RAG application using Progress MarkLogic FastTrack, enabling dynamic user interactions, LLM responses and customizable UI components.
Learn how to use semantic knowledge graphs, hybrid search and vector reranking to discover the most relevant content and optimize GenAI prompts in your multi-model RAG pipeline.