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Memgraph 3.0 Empowers Organizations to Build Enterprise-Specific GenAI and Agentic AI

Memgraph, a leader in open-source in-memory graph databases, is expanding its technology stack to make it easier for teams to build highly-accurate, real-time AI solutions powered by graph technology.

Memgraph 3.0 enables firms to make their data GenAI-ready and create applications, such as chatbots or agents, more-performant and easier with enterprise-specific outcomes that are accurate, secure, real-time, and faster to deliver value.

According to the vendor, this is achieved through its integration of advanced data retrieval techniques and the full utilization of graph technology’s inherent capabilities—delivered with a level of integration and ease of use that outpaces any other knowledge graph solution currently available.

By integrating vector search, Memgraph combines the creative power of LLMs with the precision of knowledge graphs, enabling richer semantic search insights. GenAI applications powered by 3.0’s standout feature, Retrieval-Augmented Generation in graph (or GraphRAG), enhance reasoning, reduce hallucinations, and work securely within an enterprise’s unique context and data.

“For the AI developer, Memgraph 3.0 addresses all the limitations of LLMs (large language models), like hallucinations and inability to keep up with business change,” said Dominik Tomicevic, Memgraph CEO.

With Memgraph 3.0, business users can quickly create knowledge graphs that enhance LLMs, while preventing the accidental exposure of proprietary information, safeguarding an organization’s IP.

Memgraph 3.0 addresses the challenge of ensuring prompts generate reliable answers—not by overloading the context window with information, but by enabling the system to navigate the internal knowledge graph. Instead of merely referencing similar user-generated questions, it guides the system to pinpoint the network locations where probable answers reside, the company said.

Memgraph 3.0 introduces its unique dynamic algorithms, tailored for real-time data analysis and high-throughput use cases. These enable fast, continuous responses to incoming data without requiring LLM retraining.

“With Memgraph 3.0, it’s never been easier to build AI applications,” concluded Tomicevic. “It’s all bundled, off the shelf, and open source. Developers can dive in without hesitation and start creating chatbots and AI agents today.”

Memgraph 3.0 is available for download now at www.memgraph.com/download and on AWS, Azure, and GCP Marketplaces.

For more information about this news, visit www.memgraph.com

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