Pinecone's API design team reports that every API team will soon serve AI agents as consumers, whether designed for or not, citing three properties—in-band metered recovery, scarce context, and machin…
Pinecone announced general availability of Nexus, a knowledge layer for AI agents that runs in the customer's own cloud on AWS, Google Cloud, or Azure. In tests on Sierra's τ-Knowledge benchmark, GPT-…
Sierra AI, the AI company led by Bret Taylor, announced that its internal agent Pinecone, built on its Nexus knowledge platform, achieved the top score on the τ-Knowledge benchmark, surpassing agents …
Pinecone announced the general availability of Pinecone Nexus, a knowledge engine that compiles enterprise data into agent-ready knowledge, claiming it outperforms agents using frontier models alone o…
Foundation models suffer from knowledge cutoffs, lack of domain-specific depth, and inability to access private data, leading to hallucinations and untrustworthy outputs. Retrieval-augmented generatio…
Pinecone has launched Pinecone Nexus in public preview, a knowledge engine that compiles distributed enterprise knowledge into a structured layer for AI agents. The product aims to reduce token costs …
A Pinecone Solutions Engineer developed a set of utilities for generating test data for vector search, including Parquet file generation, embedding creation, and metadata preparation. The tools aim to…
Pinecone uses proprietary indexing algorithms—Ananas, PQFS, and IVF with PQFS—selected automatically per slab based on size, instead of general-purpose methods like HNSW. The adaptive approach optimiz…
Jenova's AI agent platform reached $1M ARR and 200,000+ signups, driven by a Pinecone-powered memory system that reduces token consumption by 70-95% and achieves sub-10ms query latency. The platform's…
Pinecone released an open-source monitoring stack for its vector database, providing pre-built Grafana dashboards and Prometheus metric collection for SaaS and BYOC deployments. The stack enables proa…