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FeaturedMar 17, 2025

Optimizing Pinecone for agents (and more)

This post describes what we mean by agentic workloads, their patterns, and how our new system optimizes for them. We also describe how we've improved performance for our search and recommendation systems workloads.

Edo Liberty
Nathan Cordeiro
Edo, Nathan
Research
May 28, 2025
Cascading retrieval with multi-vector representations: balancing efficiency and effectiveness
Cesare Campagnano
Antonio Mallia
Cesare, Antonio, Jack
Product
May 26, 2025
Vector databases aren't just for large-scale enterprise AI
Milen Dyankov
Milen Dyankov
Product, Customers
Apr 24, 2025
Build secure, scalable agentic AI workflows with Rubrik Annapurna and Pinecone
Christopher Amata
Christopher Amata
Product
Apr 22, 2025
Tool up: Pinecone’s first MCP servers are here
Milen Dyankov
Milen Dyankov
Product
Apr 22, 2025
Add context to your agent with Pinecone Assistant MCP remote server
Roy Miara
Avi Mizrahi
Roy, Avi
Product
Mar 17, 2025
Launch Week: Pinecone for agents, search, recommendations, and more
Nathan Cordeiro
Tej Chilukuri
Nathan, Tej, Ana
Engineering
Mar 17, 2025
Optimizing Pinecone for agents (and more)
Edo Liberty
Nathan Cordeiro
Edo, Nathan
Engineering
Mar 12, 2025
Retrieval Inference for scale and performance
Silas Smith
Adam Kelch
Silas, Adam, Rajat, Gareth
Engineering
Feb 25, 2025
Evolving Pinecone's architecture to meet the demands of Knowledgeable AI
Ram Sriharsha
Ram Sriharsha

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