> ## Documentation Index > Fetch the complete documentation index at: https://docs.pinecone.io/llms.txt > Use this file to discover all available pages before exploring further. # Estuary > Connect Pinecone and Estuary to ship vector search and RAG: embed, index, and query at scale with managed infrastructure. export const PrimarySecondaryCTA = ({primaryLabel, primaryHref, primaryTarget, secondaryLabel, secondaryHref, secondaryTarget}) =>
{primaryLabel && primaryHref &&
{primaryLabel}
} {secondaryLabel && secondaryHref &&
{secondaryLabel}
}
; [Estuary](https://estuary.dev/) builds real-time data pipelines that focus on moving data from sources to destinations with millisecond latency. It supports integrations with hundreds of systems including databases, warehouses, SaaS products and streaming solutions. The Pinecone connector for Estuary enables users to source from these systems and push data to Pinecone, for an always up-to-date view. It incrementally updates source data to ensure that minimal credits are used when reaching out to get embeddings from providers prior to pushing them to Pinecone. Estuary's Pinecone connector enables a variety of use cases like enabling LLM-based search across your organizations data and building intelligent recommendation systems. It can be set up in 5 minutes, without any engineering effort to maximize efficiency.