Drew Wanczowski

The new MarkLogic Virtual Views feature empowers data teams to rapidly prototype reports, explore information in real time and answer both known and new business questions directly from their integrated data, with fewer IT bottlenecks or prolonged waits.

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.

Read part three of our semantic RAG series, where we explore how to split, classify and vectorize long-form content.

Read part two of our semantic RAG series, where we dive into the value of knowledge graphs and how to build one.

In part one of our five-part blog series exploring how to design a robust RAG workflow with the Progress Data Platform, we dive into GenAI and LLM fundamentals, the value of knowledge graphs and the purpose of content preparation and content discovery in the RAG workflow.

Data exists everywhere in the enterprise and comes in various shapes, sizes and formats. Organizations need just-in-time, scalable and long-term solutions to support any operational, transactional, analytical or AI workload. Learn how MarkLogic Flux effectively automates high-volume, high-velocity heterogeneous data jobs to streamline data ingestion and data access to and from your MarkLogic-powered data platform.