| "use client"; |
|
|
| import Link from "next/link"; |
|
|
| export function Footer() { |
| return ( |
| <footer style={{ background: "var(--color-surface-dark)", color: "var(--color-on-dark-soft)", padding: "80px 0 32px" }}> |
| <div className="container"> |
| <div className="grid grid-cols-1 md:grid-cols-4 gap-12 mb-16"> |
| <div> |
| <div className="flex items-center gap-2 mb-4"> |
| <img src="/tg-logo.webp" alt="TigerGraph" width={28} height={28} style={{ objectFit: "contain" }} /> |
| <span className="title-lg" style={{ color: "var(--color-on-dark)" }}> |
| Graph<span style={{ color: "#FF6B00" }}>RAG</span> |
| </span> |
| </div> |
| <p className="body-sm" style={{ color: "var(--color-on-dark-soft)", maxWidth: "280px", lineHeight: 1.6 }}> |
| Proving that graphs make LLM inference faster, cheaper, and smarter — with real measured numbers. |
| </p> |
| </div> |
| <div> |
| <div className="caption-uppercase mb-4" style={{ color: "var(--color-on-dark)" }}>Pages</div> |
| {[ |
| { label: "Home", href: "/" }, |
| { label: "Playground", href: "/playground" }, |
| { label: "Benchmarks", href: "/benchmarks" }, |
| { label: "Graph Explorer", href: "/explorer" }, |
| { label: "Architecture", href: "/architecture" }, |
| { label: "Documentation", href: "/docs" }, |
| ].map((item) => ( |
| <Link key={item.href} href={item.href} |
| className="body-sm block mb-2 hover:text-tiger-orange transition-colors no-underline" |
| style={{ color: "var(--color-on-dark-soft)" }}> |
| {item.label} |
| </Link> |
| ))} |
| </div> |
| <div> |
| <div className="caption-uppercase mb-4" style={{ color: "var(--color-on-dark)" }}>Architecture</div> |
| {["Graph Layer (TigerGraph)", "Orchestration Layer", "LLM Layer (12 Providers)", "Evaluation Layer (RAGAS)"].map((item) => ( |
| <div key={item} className="body-sm mb-2" style={{ color: "var(--color-on-dark-soft)" }}>{item}</div> |
| ))} |
| </div> |
| <div> |
| <div className="caption-uppercase mb-4" style={{ color: "var(--color-on-dark)" }}>References</div> |
| {[ |
| { label: "GraphRAG Paper", href: "https://arxiv.org/abs/2404.16130" }, |
| { label: "LightRAG Paper", href: "https://arxiv.org/abs/2410.05779" }, |
| { label: "TigerGraph Cloud", href: "https://tgcloud.io" }, |
| { label: "Wikipedia Science", href: "https://en.wikipedia.org" }, |
| ].map((link) => ( |
| <a key={link.label} href={link.href} target="_blank" rel="noopener noreferrer" |
| className="body-sm block mb-2 hover:underline no-underline" style={{ color: "#FF6B00" }}> |
| {link.label} ↗ |
| </a> |
| ))} |
| </div> |
| </div> |
| <div style={{ borderTop: "1px solid rgba(255,255,255,0.08)", paddingTop: "24px" }} |
| className="flex flex-col md:flex-row justify-between items-center gap-4"> |
| <span className="body-sm" style={{ color: "var(--color-on-dark-soft)" }}> |
| © 2025 GraphRAG Inference Hackathon · Built with TigerGraph |
| </span> |
| <div className="flex items-center gap-3"> |
| <span className="badge" style={{ background: "var(--color-surface-dark-elev)", color: "var(--color-on-dark-soft)", fontSize: "0.6875rem" }}> |
| Built with ❤️ for TigerGraph |
| </span> |
| </div> |
| </div> |
| </div> |
| </footer> |
| ); |
| } |
|
|