> ## 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. # Fleak > Connect Pinecone and Fleak 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}
}
; Fleak simplifies the process of building, deploying, and managing data workflows. As a low-code platform, Fleak lets users create and deploy complex workflows using SQL and pre-configured processing nodes. The platform facilitates seamless data processing, microservice interactions, and the inference of large language models (LLMs) within a single, intuitive environment. Fleak makes advanced technology accessible and manageable for Pinecone users without requiring extensive coding hours or infrastructure knowledge. The platform provides serverless, autoscaling HTTP API endpoints, ensuring that workflows are robust, reliable, and scalable to meet the complex data needs of enterprises. This setup allows businesses to automate and enhance their operations, driving productivity and innovation through powerful, user-friendly tools. By integrating Pinecone into Fleak's platform, users can access and leverage their vector data to enrich their workflows without additional engineering overhead, enabling seamless data-driven decision-making, advanced analytics, and the integration of AI-driven insights.