Drew Wanczowski

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.

Discover how semantic publishing and IPTC standards can enhance content discovery, packaging and distribution.

MarkLogic 11 introduces support for GraphQL queries that run against views in your MarkLogic database. Customers interested in or already using GraphQL can now securely query MarkLogic via this increasingly popular query language.