Pinecone Founder Edo Liberty on the Future of AI Search | TechCrunch Disrupt 2025

The Future of AI: Beyond Larger Models
Current artificial intelligence development requires a more sophisticated approach, and Edo Liberty is at the forefront of this innovation.
Edo Liberty, founder and CEO of Pinecone, will be presenting his insights at TechCrunch Disrupt 2025.
TechCrunch Disrupt 2025: A Key Event
The event is scheduled for October 27–29 and will take place at Moscone West in San Francisco.
Liberty’s presentation will focus on the idea that the next generation of applications designed for AI will not be propelled by increasingly large models.
Smarter Search: The Driving Force
Instead, he argues that advancements will be fueled by more intelligent search capabilities.
This AI Stage fireside chat and presentation is considered a crucial session to attend.
A Gathering of Industry Leaders
TechCrunch Disrupt 2025 anticipates the attendance of over 10,000 startup and venture capital leaders.
The event provides a unique opportunity to learn about the evolving landscape of AI and network with key players in the industry.
The focus on smarter search represents a shift in thinking about how AI can be most effectively utilized.
The Evolution of AI: Shifting Focus from Data Volume to Effective Retrieval
With the increasing integration of artificial intelligence into diverse operational processes, the primary distinction isn't solely the sophistication of the algorithm itself. Rather, it lies in the ability to efficiently access and utilize pertinent data precisely when needed.
Liberty posits that retrieval-augmented generation (RAG), coupled with specifically designed infrastructure, represents the subsequent stage of advancement. Crucially, search functionality is positioned as a central component of this evolution.
Unlocking AI's Potential Through Advanced Technologies
During his presentation, titled “Why the Next Frontier Is Search,” Liberty will detail how vector databases and robust, high-performance infrastructure are enabling the complete realization of AI’s capabilities.
Given the sheer volume of data currently available, the capacity to rapidly locate crucial information is paramount. This discussion will provide an in-depth examination of the technological foundation driving the development of more intelligent and scalable applications across various sectors.
Key Components of the Next-Generation AI Stack
- Vector Databases: These databases are optimized for storing and querying data based on semantic meaning, rather than exact keywords.
- High-Performance Infrastructure: Essential for the rapid processing and retrieval of data required by AI applications.
- Retrieval-Augmented Generation (RAG): A technique that combines pre-trained language models with information retrieved from external sources.
The ability to quickly pinpoint relevant data is becoming increasingly vital as AI systems grow in complexity and scope.
Ultimately, the future of AI hinges on a shift from simply accumulating data to mastering the art of efficient information retrieval.
The Importance of Attending This Session
Liberty played a key role in the foundational development of Artificial Intelligence infrastructure at Amazon. Currently, with Pinecone, he is facilitating the expansion of cutting-edge search capabilities for a vast user base of developers and enterprise-level organizations.
For those involved in AI development, this session offers crucial insights into the future trajectory of the AI ecosystem.
Secure Your Spot at Disrupt 2025
Register for Disrupt 2025 now to take advantage of significant savings, potentially up to $668.
These discounted rates are available until September 26th, so early registration is highly recommended.
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