MarkLogic for
Generative AI

Securely leverage all your enterprise data to build scalable and trustworthy generative AI (GenAI) applications with an agile architectural pattern.

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Evolving Your Data Architecture for Trustworthy Generative AI

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Amplify GenAI with Your Data. Empower Your Business with Knowledge.

Elevate skills and productivity across the organization with AI-enhanced applications. Progress® MarkLogic® allows you to provide large language models (LLMs) with your domain-specific knowledge to democratize access to information across your organization.

Accurate
Responses

Augment large language models with your enterprise information and your rules to drive validity of generative AI responses.

Trusted
Data

Create a rich, trustworthy content source for any generative AI model to surface insights with repeatable confidence.

Elevated Experiences

Enhance search with securely personalized recommendations and human-digestible insights for better user experiences.

Intelligent Applications

Build fact-based applications that can interpret intent and enable smarter operations to multiply your workforce productivity.

Retrieval Augmented Generation (RAG) with Knowledge Graphs

The effectiveness of generative AI depends on the data it uses to generate results. Graph Retrieval Augmented Generation (RAG) allows you to augment generative AI prompts by securely incorporating enterprise data, guiding the model to generate contextually relevant responses and reducing hallucinations and data biases for more accurate AI outputs. Connecting LLMs and knowledge graphs empowers generative AI models with access to private data and a deep understanding of that data to retrieve fact-based information about your enterprise.

Business Benefits

Delivers accurate answers by providing the right enterprise content as context for the GenAI
Reduces hallucinations, bias and reasoning errors with curated enterprise knowledge
Optimizes results by interchanging multiple AI models inexpensively across the same reusable enterprise content
Provides up-to-date responses by handling dynamic data sources in real time
Helps secure your content to reduce the risk of hacking and data loss through robust security controls

Technical Benefits

Holds real-time, semantically relevant enterprise data
Enables rapid integration of enterprise information
Has tunable, use-case dependent relevancy
Retrieves knowledge independent of generative AI models
Provides data-quality tools for curation, mastering and aggregation
Adheres to enterprise standards for security, governance and lineage

human-insight-at-a-machine-scale-with-graph-technologies

Webinar

The Next Frontier for the Enterprise: The Human-AI Collaboration

Foundational data quality is a prerequisite for the reliability, accuracy and relevancy of AI-driven solutions. From empowering workforces with new skills to harnessing AI for data-driven decision-making, hear about the human role in steering AI’s integration and evolution within businesses.

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Flexible, Secure and Connected Data Ecosystem for AI

The Progress MarkLogic platform combines multi-model data management with real-time, relevance-based search and semantic capabilities to provide an adaptable, secure foundation for your generative AI solutions.

Generative AI Model Independence

Easily switch generative AI models to adapt to new business requirements or take advantage of technology advancements. With the MarkLogic platform’s flexible data model, you can use the same memory and data against multiple generative AI models to enable a variety of use cases without incurring the extra costs of re-indexing.

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Smart Data Curation

Harness the wealth of your enterprise content and provide a rich information set to your generative AI models. The MarkLogic platform integrates diverse data sources and formats, including structured and unstructured data, to create a curated, quality and consistent data source for your AI-enhanced applications with easy model-driven mapping, entity modeling and smart mastering.

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Human-Readable Knowledge Repository

Improve the robustness of LLM responses with a semantic knowledge graph as your AI model’s external long-term memory. MarkLogic allows you to store, index and search RDF triples and enrich your data models with new semantic relationships and metadata to provide enhanced context for your AI systems.

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Real-Time Hybrid Querying

Power natural language search and human-centric experiences with multi-model, real-time data querying and data service APIs. The MarkLogic native search engine identifies the most relevant information to answer a user question with comprehensive indexing, relevance ranking, co-occurrence and proximity boosting and returns high-confidence results.

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Native Vector Operations (Early Access)

Significantly improve document search relevance to maximize the retrieval effectiveness of your RAG systems. The MarkLogic native vector operations capabilities allow you to store vector embeddings close to your data in JSON or XML format and perform large-scale similarity searches to effectively refine the top search results for even greater accuracy, prioritizing the content that best matches the user queries.

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Enterprise Standards and Trust

Take AI projects from incubation to production with robust security and unmatched scalability. The MarkLogic advanced security controls tightly couple role-based and query-based access to the content used by GenAI to generate the answer users get, helping to elevate data privacy. Automated lineage and provenance explain how generative AI models reach conclusions and reference the sources generating the response to build trust.

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