- TigerGraph introduces CoPilot 4.0, enhancing LLMs with graph data for business insights.
- CoPilot 4.0 includes SupportAI and InquiryAI, targeting improved customer support and natural language insights.
- The technology minimizes inaccuracies by centering input/output around customers’ data, reducing hallucinations in LLMs.
- QueryAI, in development, aims to democratize access to knowledge graph insights through natural language queries.
- CoPilots are shrink-wrapped products adaptable for integration or standalone use.
- TigerGraph Cloud 4.0 offers scalable cloud solutions with separate compute and storage elements.
- Hamid Azzawe joins as CEO, bringing extensive tech industry experience to drive growth and innovation.
Main AI News:
TigerGraph is set to unveil its latest innovation, CoPilot 4.0, at the upcoming Virtual Graph + AI Summit 2024. In a series of announcements, the company introduces two pre-built CoPilots designed to supercharge Large Language Models (LLMs) with graph data. Alongside this release comes the launch of TigerGraph Cloud 4.0, a significant update separating storage and compute functions. Additionally, the company welcomes Hamid Azzawe as its new CEO, a seasoned tech veteran from Silicon Valley, tasked with driving growth.
Amidst a strategic pivot, TigerGraph aims to navigate smoother waters following recent industry challenges. Transitioning from a graph database provider to an AI-powered solutions entity focusing on knowledge graphs, the company maintains its stronghold in the financial services sector while reshaping its product offerings.
The newly unveiled CoPilots align with TigerGraph’s transformation into an AI-driven solutions provider with a foundation in graph technology. SupportAI aims to enhance customer support interactions by refining chatbot experiences, while InquiryAI empowers users with natural language insights.
Harnessing the power of graph technology, TigerGraph addresses a common limitation of generic LLMs – hallucinations. By leveraging input and output centered around customers’ own data, the company minimizes inaccuracies through contextual relevance. SupportAI, in particular, leverages existing queries to guide interactions, ensuring a reliable experience devoid of hallucinations.
Moreover, TigerGraph is developing QueryAI, set to democratize access to insights from knowledge graphs. This upcoming CoPilot will enable users to pose basic questions in natural language, translating them into executable queries for the graph database.
These CoPilots are packaged as shrink-wrapped products, providing seamless integration with existing TigerGraph implementations or functioning as standalone solutions. Offering flexibility in architecture, they can be utilized out-of-the-box or integrated with users’ preferred vector databases and LLMs.
In parallel, TigerGraph introduces TigerGraph Cloud 4.0, offering customers enhanced scalability and flexibility with separate compute and storage components. This release reinforces the company’s commitment to providing scalable graph database solutions tailored for cloud environments.
Welcoming Hamid Azzawe as CEO marks a pivotal moment for TigerGraph. With his extensive experience in the tech industry, Azzawe is poised to steer the company towards its next phase of growth and innovation.
Conclusion:
TigerGraph’s CoPilot 4.0 signifies a significant advancement in leveraging graph AI for business insights. With a focus on enhancing customer support, refining natural language interactions, and democratizing access to knowledge graph insights, TigerGraph is poised to redefine the landscape of AI-driven solutions. The introduction of CoPilot 4.0 and TigerGraph Cloud 4.0, coupled with Azzawe’s leadership, positions TigerGraph at the forefront of innovation in the market, offering scalable and flexible solutions tailored to the evolving needs of businesses.
