Franz Inc. launches AllegroGraph 8.4, supporting agentic AI solutions

Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Graph Database technology for Neuro-Symbolic AI Solutions, is introducing AllegroGraph v8.4, offering an enhanced AI-powered natural language query interface.

According to the company, AllegroGraph’s advanced natural language queries drive agentic AI solutions by enabling more intuitive, human-like interaction between users and intelligent systems—critical for agents that need to reason, plan, and act autonomously.

“With AllegroGraph 8.4, we’re driving the evolution of agentic AI by combining the power of neuro-symbolic reasoning with natural language understanding,” said Dr. Jans Aasman, CEO of Franz Inc. “This latest release makes it easier for enterprises to build intelligent agents that can understand user intent, reason over complex data, and take meaningful action—bringing us closer to truly autonomous, explainable AI systems.”

As the first Neuro-Symbolic AI Platform, AllegroGraph combines machine learning (statistical AI) with knowledge and reasoning (symbolic AI) capabilities.

This powerful combination enables AllegroGraph to solve complex problems that require reasoning and learn efficiently with less data, thereby expanding applicability across a broad array of tasks, the company said.

The blending of machine learning and reasoning in AllegroGraph also produces decisions that are understandable to humans and explainable, an important step in the progression of AI.

AllegroGraph v8.4 has enhanced its natural language query interface to allow users to ask questions in natural language and automatically convert them into SPARQL queries for precise Knowledge Graph interrogation.

This AI-powered capability depends on the platform’s vector database which contains query examples that help the system learn and improve over time. With this feature, users can have built-in GraphRAG capabilities for their agentic AI applications.

Additionally, a new tabular view option has been introduced that provides a more structured presentation of query metadata, making it easier to sort, filter, and compare query examples immediately.

This enhancement streamlines the process of maintaining high-quality training examples that drive improved natural language understanding.

Other new features include:

• Bridging Documents and Graphs - VectorStore capabilities within AllegroGraph offer a seamless bridge between enterprise documents and Knowledge Graphs. 
• Security and Access Control - A unique feature of AllegroGraph’s vector store implementation is that it lives under the same security framework that is applied to the graphs. 
• AI Symbolic Rule Generation - AllegroGraph offers built-in rule-based system capabilities tailored for symbolic reasoning.
• Knowledge Graph-as-a-Service – A new hosted, free version grants users access to the power of AllegroGraph with LLMagic via a convenient web login - https://allegrograph.cloud
• Enhanced Scalability and Performance – AllegroGraph includes enhanced FedShard capabilities making the management of sharding more straightforward and user-friendly while reducing query response time and improving overall system performance.
• Advanced Knowledge Graph Visualization – A new version of Franz’s industry-leading graph visualization software, Gruff v9, is integrated into AllegroGraph.

For more information about this news, visit  https://franz.com.