OPAL (OpenLink AI Layer) is a state-of-the-art middleware solution by OpenLink Software, deployed as a Virtuoso Data Spaces platform add-on. It offers a loosely coupled interface between SQL-accessible data (via ODBC or JDBC), SPARQL-accessible Data Spaces—including databases, knowledge bases, graphs, and document collections—and large language models (LLMs) such as OpenAI’s GPT family, Anthropic’s Claude family, Google’s Gemini family, X.AI’s Grok family, and Mistral. OPAL seamlessly integrates AI systems with enterprise data, enabling intelligent, secure, and scalable interactions.
Benefits
OPAL provides a critical foundation for developing and deploying AI Agents that deliver the following benefits:
- Enhanced Decision Making: Enables AI-driven insights by bridging structured and unstructured data, facilitating smarter, faster decisions.
- Data Interoperability: Connects siloed data sources into a unified, linked ecosystem accessible to LLMs for seamless integration.
- Efficiency and Usability: Simplifies interaction with linked data, empowering both technical and non-technical users to utilize AI effectively.
- Scalability and Security: Adapts to enterprise-scale needs while ensuring data security through Virtuoso’s fine-grained attribute-based access controls (ABAC) and user-controlled identity management system.
- Sophisticated Data, Information, and Knowledge Sharing: Leverages the full power of HTTP-based hyperlinks for sharing information securely.
Use Case: Improving Customer Support with AI
- Use conversational interactions to create a 360-degree view of data (customer profiles, interaction history, and product catalogs) harmonized across data spaces (databases, knowledge bases or graphs, document collections) via Virtuoso.
- Create and deploy AI Agents that handle information in real time, delivering accurate and context-aware support.
- Enhance customer satisfaction through faster inquiry resolutions and interaction personalization.
Use Case Demonstrations
AI Agent Interaction via Embedded Widget
Offer and Pricing Inquiry (Screencast Demo)
Obtaining a FREE Evaluation License & Purchase (Screencast Demo)
Additional Use Case Demonstrations Sessions
- Complete session showcasing a variety of Knowledge Graph interactions.
- Session snippet showcasing a specific Knowledge Graph interaction, in animated form – drop the
&t
URL parameter to revert to a static page you can interact with.
Key Product Features
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Intelligent Data Access:
- Provides flexible, real-time access to diverse data sources, including Knowledge Graphs, databases, and document collections, through SQL and SPARQL.
- Supports natural language querying via LLMs to retrieve and interpret complex, structured data.
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Dynamic Data Transformation:
- Transforms data formats on the fly (e.g., JSON to SPARQL queries), making data more accessible and actionable for AI agents.
- Reduces the need for technical expertise to interact with linked data.
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Seamless AI Integration:
- Acts as a unified interface, enabling LLMs to harmonize, query, and analyze enterprise data effortlessly.
- Supports AI-driven workflows across customer service, analytics, and more.
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Enterprise-Grade Security:
- Ensures secure interactions through Virtuoso’s fine-grained attribute-based access control (ABAC), protecting sensitive enterprise data.
- Maintains compliance with strict data governance policies.
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Scalability and Flexibility:
- Scales with organizational needs, making it suitable for industries ranging from retail to finance, healthcare, and beyond.
- Adaptable to a wide range of use cases through Virtuoso’s semantic data harmonization capabilities.
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Support for Multiple LLMs:
- Enables the development and deployment of AI Agents that are loosely coupled with a variety of LLMs, e.g., those provided by OpenAI (GPT family), X.AI (Grok), Anthropic (Claude), Mistral, with Google Gemini support imminent.
- Offers enhanced Personal Assistant interfaces (or skins) to supported LLMs that enable export, import, and organization of sessions.
Summary
In essence, OPAL transforms how organizations create, deploy, and utilize AI Agents to securely interact with enterprise data, information, and knowledge, providing a scalable, intelligent, and secure approach to managing enterprise data in the AI era.
Related
- Product Home Page
- Product Presentation
- Product Installation and Configuration Guide
- AI Agents Examples Github Repo
- Note-Taking, Knowledge Graph Enrichment, and RAG Interaction Use Case Example
- Creating a Product Support AI Agent using Natural Language via OPAL
- Progressive Knowledge Graph Generation and RAG Interactions