Search: “pinecone”

Pinecone announced the general availability of Pinecone Nexus, a knowledge engine that converts an enterprise’s proprietary data into governed, agent‑ready knowledge delivered through a single query c

This article from Pinecone discusses methods and best practices for generating synthetic or sample test data to use when developing and testing applications with Pinecone's vector database. It likely

Sparse V3 is Pinecone's updated sparse indexing technology designed to improve efficiency by skipping irrelevant data during vector search operations. The advancement likely focuses on optimizations t

Pinecone has introduced an open-source monitoring stack designed to provide full observability for its vector database service, supporting both SaaS and Bring Your Own Cloud (BYOC) deployment models.

Pinecone Marketplace is a platform feature that enables users to quickly deploy pre-built vector database solutions and integrations to production environments. The marketplace likely provides curated

Pinecone launched a new cloud region in Frankfurt, Germany to expand its vector database infrastructure in Europe and better serve Central European enterprises building AI applications. This regional

Pinecone announced the launch of its first serverless region in Asia, specifically in Singapore, expanding its vector database infrastructure to the Asia-Pacific market. This new cloud region enables

Pinecone Nexus has integrated with Microsoft OneLake, enabling AI agents to access and work directly with enterprise data stored in OneLake without requiring data movement or copying. This integration

Pinecone has released full text search capabilities in public preview, expanding its vector database platform beyond semantic search to include traditional keyword-based search functionality. This fea

Pinecone Nexus is a knowledge infrastructure platform designed to enable AI agents to access, retrieve, and reason over enterprise data at scale. The system addresses the challenge of integrating larg

Pinecone Systems Inc., an artificial intelligence infrastructure company providing fully managed vector databases, Wednesday launched the public preview of Pinecone Nexus, which curates and distribute

Text match filters are a feature in Pinecone that allow users to filter vector search results based on exact text matching criteria, enabling more precise control over which documents or records are r

Pinecone presents early access customer results and benchmarks for Nexus, their vector database or search product, demonstrating real-world performance metrics and use cases from initial deployments.

Full text search systems enable efficient querying of large document collections by indexing and searching text content across multiple fields and documents. This article from Pinecone likely covers t

Builder Plan is Pinecone’s $20/month flat-rate pricing tier built for builders who’ve outgrown Starter but aren’t ready for usage-based pricing. It adds capacity for dev/staging/production workflows,

This article likely explores the integration of Model Context Protocol (MCP) with Pinecone's skills, CLI tools, and plugin ecosystem for building AI applications. It probably covers how developers can

AskData implemented optimization techniques to dramatically reduce token consumption in their AI system by over 90%, likely through strategies such as prompt engineering, caching, retrieval optimizati

This article likely argues that improving the underlying language models is insufficient for building effective AI agents, and that other critical components—such as knowledge retrieval, context manag

The global buildout of AI infrastructure reached a new milestone today — Firebird, an emerging AI cloud, launched the CIS region’s largest AI factory in Armenia, establishing a new AI computing hub po

Enterprise AI agents lose effectiveness when they must access data outside of protected, governed systems. The article argues that truly reliable agents need to be *data‑native*—run directly inside th

Weaviate's Shared Cloud offering is now generally available on Amazon Web Services (AWS), providing users with a managed, multi-tenant vector database deployment option on AWS infrastructure. This lau

Auto-generated index of all companies mentioned across the wiki.

Auto-generated index of all tools mentioned across the wiki.

Google's Gemini is getting a feature called 'notebooks' to help you organize things about certain topics in a single place while using the AI chatbot, the company announced on Wednesday. You can pull

Automated lint: 20 errors, 8743 warnings, 3 info

Automated lint: 26 errors, 6728 warnings, 3 info

Auto-generated index of all models mentioned across the wiki.