New Features and Enhancements
Maximize augmented GenAI retrieval efficiency with a comprehensive hybrid search.
Run complex analytics cost-effectively at scale with relational views generated at query time.
Natively perform vector operations in MarkLogic Server to significantly enhance Generative AI retrieval accuracy.
Boost full-text search recall with better document ranking to return the most relevant search results at the top.
Solve real-world problems related to route planning, network optimization and resource allocation.
Analyze and explore your data quickly and cost-effectively with Virtual Views. Virtual Views are relational projections of document data you can generate on demand. Optimized for ad-hoc reporting or repetitive calculations, Virtual Views allow you to run large-scale analytical queries without incurring the operational and resource cost of reindexing data.
Store vector embeddings close to your data in JSON or XML format and enable large-scale similarity searches for GenAI systems on vast amounts of unstructured data. Complement with full-text queries through Optic API for the highest quality, trustworthy results, significantly reducing computational costs.
Combine best-match relevance and vector calculations to re-rank results for optimal search accuracy. The comprehensive search capabilities of MarkLogic Server allow you to combine text-based and similarity-based queries, merge result scores and re-rank them with a single expression via its Optic API that parses the content most relevant to a user query to the LLM model.
Improve the contextual relevance of results and response time in graph RAG systems by effectively identifying the most relevant documents or phrases to answer a user or LLM-generated query. Find the most cost-effective or time-efficient solutions to route planning, network optimization and resource allocation.
Ready to use with out-of-the-box functionality.
Graph, geo-map, timeline, grid, charts and text.
No ETL or API integration required to interact with data in MarkLogic Server.
Enables users to find the exact data they need.
Configurable and synchronized to refine results.
A complete blueprint for how to build with the toolkit.
Reveal new insights on domain knowledge with a user-friendly connected data exploration experience that intuitively follows your process.
Apply uniform provenance, validation and data access rules once and from a single location across all flows and models.
Investigate and troubleshoot current activity in the system when you experience unusual behavior.
A cleaner, crisper presentation of semantic data models helps you intuitively explore extremely large, connected data and draw insight faster. Now you can now zoom in on individual nodes in the Explore Module and the screen will automatically remove the "noise" around your data point of interest so you can focus on the smallest detail. The new entity grouping feature helps you organize your data landscape into data subsets with easy dragging and dropping, while decluttering your view and simplifying the complexity of the graph.
Navigate your knowledge graph and expand individual data points to declutter the view of your hairy graph dataset.
Connect nodes in your knowledge graph with a simple draw motion directly in the graph visualization UI.
Arrange data points in your knowledge graphs in clusters with easy dragging and dropping to organize and simplify your view.
You can now centrally manage Provenance, Entity validation and Target permission settings through the Global Settings menu in the MarkLogic Data Hub. The new Global Settings menu allows you to set and configure properties to apply across the entire application.
You can choose between coarse-grained, fine-grained or no lineage.
Part of the curation flow, the validation setting enables you to decide how strictly you want to force data to conform to the entity definition.
Apply to the output of every step that doesn't have its own target permissions setting. For example, you can give users permission to the mapped data only but not the raw data in the staging database.
You can now perform diagnostics on the MarkLogic Data Hub when it does not behave as expected. The new debug task allows you to initiate a system log displaying all current activity so you can quickly see the most recent jobs, connection status to the application server as well as the latest created user roles and entities.
Connect databases, workflows, file systems and cloud storage.
Create reusable REST transforms in JavaScript or XQuery.
Leverage readily available, intuitive commands with inline help.
Flexibly define, configure and automate high-volume import, transform and export jobs.
Tap into the vast Apache Spark connectors ecosystem.
Run locally or embed in your enterprise JVM-based application.
Simplify large-scale data ingest operations by importing structured and unstructured data formats from a variety of sources, including any database with a JDBC driver, including those offered by Progress DataDirect.
Seamlessly integrate with your larger data ecosystem so data services and applications can consume your curated data and metadata. You can easily export rows or documents to a variety of destinations, including databases, a local filesystem or Amazon S3.
Easily read, process and transform data in bulk via custom JavaScript or XQuery code without slowing down your production environment. Vectorize data and documents iteratively for augmented GenAI retrieval.
New Features and Enhancements
New Features and Enhancements
New Features and Enhancements
New Features and Enhancements
Migrating or upgrading to a current software version? Contact Progress Professional Services and get upgrade support from our team of consultants or find a MarkLogic implementation partner.
Get a personalized demo or start a proof-of-value with our team.