Technical Support Engineer

Listed in the Enterprise category, Pinecone is the only vector database distinguished as a Most Innovative Company by Fast CompanyNEW YORK, March 18, 2025 /PRNewswire/ -- Pinecone – the leading vector database for building accurate and performant AI applications at scale in production – is proud to have been named to Fast Company's prestigious list of the World's Most Innovative Companies of 2025. The only vector database to be honored, Pinecone is listed in the Enterprise category which recognizes organizations offering software as a service and other technologies that make other businesses more efficient and effective."Pinecone is an incredibly talented group of veteran experts in databases, cloud infrastructure, search, information retrieval, and AI pushing the envelope to achieve our mission of making AI knowledgeable," said Edo Liberty, founder and CEO of Pinecone. "Over the past 5+ years we've created the world's best vector database to empower companies to generate business value out of proprietary unstructured data that was previously unusable. I'm especially proud to be the leading choice among engineers for building scaled AI workloads in production."Yesterday, Pinecone launched its latest architecture. The result of a months-long effort, with this update, Pinecone is now highly optimized for agentic workloads, in addition to search and recommendations. Early customers are already adding knowledge and memory capabilities to millions of agents.This latest innovation follows the recent launch of Pinecone Assistant, an API service built to power grounded chat and agent-based applications with precision and ease

New proprietary reranking and embedding models, as well as the addition of third-party models like Cohere's Rerank 3.5 model, further provide customers quick, easy access to high-quality retrieval and significantly streamline the development of grounded AI applications."Our goal at Pinecone has always been to make it as easy as possible for developers to build production-ready knowledgeable AI applications quickly and at scale," said Edo Liberty, founder and CEO of Pinecone. "By adding built-in and fully-managed inference capabilities directly into our vector database, as well as new retrieval functionality, we're not only simplifying the development process but also dramatically improving the performance and accuracy of AI-powered solutions."Pinecone's composable platform now includes the following updates:pinecone-rerank-v0 proprietary reranking modelproprietary reranking model pinecone-sparse-english-v0 proprietary sparse embedding modelproprietary sparse embedding model New sparse vector index typeIntegration of Cohere's Rerank 3.5 modelNew security features, including role-based access controls (RBAC), audit logs, customer-managed encryption keys (CMEK), and the general availability (GA) of Private Endpoints for AWS PrivateLinkAdvancing the state of the art for retrievalHigh-quality retrieval is key to delivering the best user experience in AI search and retrieval-augmented generation (RAG) applications. Pinecone's research shows that state-of-the-art performance requires combining three key components:Dense vector retrieval to capture deep semantic similaritiesto capture deep semantic similarities Fast and precise sparse retrieval for keyword and entity search using a proprietary sparse indexing algorithmfor keyword and entity search using a proprietary sparse indexing algorithm Best-in-class reranking models to combine dense and sparse results and maximize relevanceBy combining the sparse retrieval, dense retrieval, and reranking capabilities within Pinecone, developers will be able to create end-to-end retrieval systems that deliver up to 48% and on average 24% better performance than dense or sparse retrieval alone."With the advent of GenAI, we knew we could challenge the status quo in talent acquisition by building an experience focused on the job seeker rather than the hiring company," said Alex Bowcut, CTO of Hyperleap. "With Pinecone, we've seen 40% better click-through rates for the job matches we deliver with search results using their semantic retrieval as opposed to traditional full-text search. Now, with the addition of sparse vector retrieval to Pinecone's proven natural language search capabilities, we're excited to explore how we can bring deeper personalization to people looking for work."Pinecone proprietary modelsWith the introduction of its first proprietary models, Pinecone is making it easier for developers to build knowledgeable AI.Natively integrated into Pinecone's platform, these models simplify the development of production-ready AI applications.AI search simplified with integrated inferenceWith the release of Pinecone's integrated inference capability, engineers can now develop state-of-the-art applications without the burden of managing model hosting, integration, or infrastructure. By offering these capabilities behind a single API, developers can seamlessly access top embedding and reranking models hosted on Pinecone's infrastructure, eliminating the need to worry about vectors or data being routed through multiple providers