What's New
MarkLogic Server 12
New Features and Enhancements
MarkLogic Server 12: Powering Intelligent Search for Enterprise AI
Boost GenAI response accuracy by up to 40% with our semantic RAG model.
Progress Launches Data Cloud
Remove the infrastructure complexity and IT overhead of managing your clusters to accelerate time to production. Progress Data Cloud offers managed hosting of MarkLogic Server and MakLogic Data Hub for enhanced security and scalability—all with 100% feature and capability parity.
Latest Features Across the Portfolio
Powering Intelligent Search for Enterprise AI
GenAI Relevance with Native Vector Search
Store, index and query vector embeddings in MarkLogic Server to maximize generative AI response accuracy.
Flexible Analytical Queries with Virtual Views
Run large-scale and ad-hoc analytics cost-effectively with relational views generated at query time.
Enhanced Text Search with BM25 Relevance Ranking
Boost full-text search recall with better document ranking to return the most relevant search results at the top.
Advanced Semantic Search with Graph Shortest Path
Solve real-world problems related to route planning, network optimization and resource allocation.
Consistent Performance with Dynamic Query Hosts
Scale clusters up and down to handle changing workloads, while optimizing resource utilization.
Hardened Security and Modernized Platform Support
Enhance your security posture, modernize your stack and deploy in the environments that best fit your strategy.
Additional Resources
MarkLogic Server 11 Series
MarkLogic Server 11.3
- First Long Term Support release
- Rootless Mode with Docker Image 2.0
MarkLogic Server 11.2
- Optic API Update GA. Patch and Error Handling.
- OAuth 2.0 JWT OIDC (Open ID Connect) Support
- Admin UI Dynamic Data Fetching
- Queue Size Metrics
- Elastic Load Balancer Support in XCC
- Progress® Semaphore™ Integration
- Progress® Corticon™ Integration
MarkLogic Server 11.1
- XQuery and Node.js Support for Optic Update (Technical Preview)
- Reverse Proxy and Load Balancer Path-Based Routing
- Forest Memory Diagnostics
- PKI and KMS Auditing
- New Full-Width UI Banner
- AWS CloudFormation Template (CFT) Improvements
MarkLogic Server 11.0
- New Look and Feel and Improved Accessibility
- GraphQL
- Optic Geospatial
- Optic Update (Technical Preview)
- Adaptive Memory Algorithms for Optic Sorts and Joins
- Storage Failure Detection and Failover
- Enhanced Health Check Monitoring
- HTTP Compression and Chunking
/marklogic/server/latest-updates
Exceptional Developer Productivity
Integrated Developer Environments Support
View FastTrack documentation directly in your preferred IDE to maximize your efficiency. Now with support for VS Code, IntelliJ, Atom, Eclipse and more.
100+ New UI Components
Save time developing enterprise-grade applications with feature-rich React components and an AI coding assistant. With built-in design themes, accessibility, localization and a consistent API.
AI Summary Component
Allow users to leverage natural language and AI to achieve a deeper understanding of large, complex datasets. Works seamlessly with the FastTrack search and an AI provider of your choice.
FileDisplay and EntityEditor
Allow users to preview files like PDFs and images and edit the file metadata directly in the UI. Also supports source document content from AI search results to be displayed.
More Flexible Facets
Give users more control over how they explore and filter information. Now with built-in options to apply multiple and complex (AND/OR) facet combinations to refine results.
Authentication and Authorization Example
See how to implement secure, fine-grained access to information stored in MarkLogic Server so users will only see search results they are allowed to.
Additional Resources
Integrated Developer Environments
View documentation directly in your preferred integrated developer environment (IDE) to maximize your efficiency. MarkLogic FastTrack now comes with support for popular IDEs like VS Code, IntelliJ, Atom, Eclipse and WebStorm.
100+ New UI Components
MarkLogic FastTrack now comes with a Progress® KendoReact™ license—the award-winning UI component library. It includes an AI coding assistant trained on the components to help you get production-quality code on the first try.
AISummary
The new AISummary component works seamlessly with the FastTrack search and an AI service provider of your choice to display a response to a user's query and a list of citations with backlinks to source documents.
FileDisplay and EntityEditor Components
The new FileDisplay widget enables you to display file content (XML and JSON, PDFs, Word documents, image files, etc.), including AI source documents and search results. The EntityEditor widget lists file properties and supports the editing of those properties.
More Flexible Faceting
The FastTrack facet components now support: multi-selection of search facets (via an “Apply All” button); application-wide resetting of facet selections (via a “Reset All” button); ANDing and ORing of string and bucket facet selections; and automatic generation of a faceted UI based on the search response.
Authentication and Authorization in the Example Search Application
The Faceted Search example application now demonstrates JWT-based authentication combined with the MarkLogic element-level security. When viewing search results, users only see properties to which they are authorized based on their assigned roles.
Enhance the Quality and Contextual Awareness of Your Data
Knowledge Model Import
Enrich your documents with semantic relationships and easily build richer knowledge graphs.
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Smart Collector
Intelligently update your knowledge repository with new information, skipping over previously loaded documents.
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Enhanced Knowledge Graph Visualization
Reveal new insights on domain knowledge with a user-friendly connected data exploration experience that intuitively follows your process.
Global Settings
Apply uniform provenance, validation and data access rules once and from a single location across all flows and models.
Debug Manager
Investigate and troubleshoot current activity in the system when you experience unusual behavior.
Additional Resources
Knowledge Model Import
Import semantic knowledge models from Progress Semaphore or other sources to the MarkLogic Data Hub and use them to model relationships within your entities. This enables you to enrich your documents with semantic context and quickly build richer knowledge graphs directly in the MarkLogic platform.
Schema Modeling
Model your data against externally defined schemas, including semantic knowledge models from Progress Semaphore to add and define relationships between entities.
Model Exploration
Query the new documents using an SQL view generated based on the uploaded JSON or XML schema, providing detailed information for the relationships between entities.
Knowledge Graphs
Enhance your knowledge graph with structured semantic data, enriching your graph’s ability to handle complex relationships, queries and reasoning.
Smart Collector
The Smart Collector feature in Data Hub 6.2 hashes documents as they are loaded to identify previously loaded documents and avoid reprocessing them, saving processing time. For example, if you are loading 600 documents into MarkLogic Server, the Smart Collector will successfully identify and skip previously loaded documents, reducing the total number of documents processed in one go.
Document Hashing
The Smart Collector hashes documents as they are loaded into the Data Hub. This allows the system to recognize if a document has been previously loaded, preventing duplicate processing.
Processing Efficiency
The Smart Collector saves significant processing time by only processing new documents. This is particularly useful when dealing with large sets of documents where some may overlap.
Flexible Settings
The Smart Collector can be enabled or disabled globally or for individual steps. This flexibility allows users to tailor the feature to their specific needs and workflows.
Enhanced Knowledge Graph Visualization
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.
Zoom In and Out
Navigate your knowledge graph and expand individual data points to declutter the view of your hairy graph dataset.
Draw relationships
Connect nodes in your knowledge graph with a simple draw motion directly in the graph visualization UI.
Entity grouping
Arrange data points in your knowledge graphs in clusters with easy dragging and dropping to organize and simplify your view.
Global Settings
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.
Provenance
You can choose between coarse-grained, fine-grained or no lineage.
Entity validation
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.
Target permissions
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.
Debug Manager
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.
Streamline Data Operations for AI
SQL View Configuration on Import
Automatically generate a Template Driven Extraction (TDE) template to extract row data from documents, allowing you to immediately query it using SQL or the Optic API.
Document Splitting
Prepare your data for AI use cases and improve the quality of your vector searches while reducing LLM token consumption with out-of-the-box document splitting functionality.
Vector Embedding
Build a data pipeline to power your semantic RAG by adding vector embeddings to MarkLogic Server alongside operational data without the need for custom code.
Semantic Metadata Enrichment
Elevate hybrid retrieval with rich metadata—extract text, classify content and configure metadata values directly on import or via transformations for cross-query.
Additional Resources
SQL View Configuration on Import
With the new automatic TDE generation, your structured data is immediately ready for exploration with SQL-based tools. When importing structured data, Flux automatically analyzes the data schema and generates a corresponding TDE template. This eliminates the manual process of creating and loading TDE templates.
Document Splitting
With the new splitting capability, you can provide just the right amount of content necessary to answer a user query. Set character length or split based on XML/JSON elements and the amount of chunks you want created. Store chunks alongside their original position or in separate documents linked to the original, preserving context and relevance.
Vector Embedding
With the new embedding capability, you can leverage out-of-the-box implementations using LangChain4j and LLM models like Azure OpenAI to generate and store vector embeddings in the source document in MarkLogic Server during import or copy. Complement with vector search to index and run similarity queries based on the user question.
Semantic Metadata Enrichment
With out-of-the-box semantic classification and metadata configuration capabilities, you can apply a true hybrid search with multiple facets. Extract text, tag documents and chunks in Progress Semaphore and configure additional metadata values. Store extracted text alongside metadata about the original source, the corresponding vector embeddings and the classification tag in a single chunk to cross-query for optimal retrieval precision.
What's New
FastTrack 2.0
New Features and Enhancements
Exceptional Developer Productivity
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What's New
Data Hub 6.2
New Features and Enhancements
Enhance the Quality and Contextual Awareness of Your Data
Watch DemoTalk to an Expert
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.
Learning & Resources
Get Started with MarkLogic
Get a personalized demo or start a proof-of-value with our team.