Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Graph Database technology for Neuro-Symbolic AI Solutions, is introducing AllegroGraph v8.5, offering an enhanced AI-powered natural language query interface.
According to Franz, this new release helps enterprises build 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.
AllegroGraph v8.5 combines knowledge graphs, vector embeddings, and neuro-symbolic reasoning to provide the semantic layer needed for AI agents to interpret data meaningfully and deliver more accurate, explainable results.
“With AllegroGraph 8.5, we’re making it easier for enterprises to build AI agents that can understand intent, reason over complex data, and deliver more explainable results,” said Dr. Jans Aasman, CEO of Franz Inc. “By combining natural language access with Neuro-Symbolic AI and knowledge graphs, AllegroGraph provides a stronger semantic foundation for trusted enterprise AI.”
New Capabilities in AllegroGraph v8.5 include:
- Optimized Natural Language Query (NLQ): Faster, more token-efficient translation of natural language questions into graph queries, reducing LLM usage while improving response times.
- Expanded MCP support: Simplifies connecting models, tools, and enterprise knowledge graph workflows into agentic AI systems.
- Faster vector processing: Accelerates vector creation and supports configurable vector sizes to optimize performance and cost.
- Enhanced observability: Enhanced integration with Prometheus and Grafana for improved monitoring and operational visibility.
- Production-ready AI Semantic Graph Infrastructure: Strengthens AllegroGraph’s role as a production-ready platform for AI applications that combine knowledge graphs, vector search, and LLM reasoning.
For more information about this news, visit https://franz.com.