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Unverified Commit 7b684c44 authored by Laurie Voss's avatar Laurie Voss Committed by GitHub
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docs: home page tweaks (#1447)

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......@@ -25,15 +25,16 @@ export default function HomePage() {
return (
<main className="container mx-auto px-4 py-12">
<h1 className="text-4xl md:text-6xl font-bold text-center mb-4">
Build RAG Web App using
Build context-augmented web apps using
<br /> <span className="text-blue-500">LlamaIndex.TS</span>
</h1>
<p className="text-xl text-center text-fd-muted-foreground mb-12 ">
LlamaIndex.TS is the JS/TS library from our popular Python library
llama-index for building LLM applications
LlamaIndex.TS is the JS/TS version of{" "}
<a href="https://llamaindex.ai">LlamaIndex</a>, the framework for
building agentic generative AI applications connected to your data.
</p>
<div className="text-center text-lg text-fd-muted-foreground mb-12">
<span>Designed for building web applications under </span>
<span>Designed for building web applications in </span>
<TextEffect />
</div>
......@@ -58,8 +59,8 @@ export default function HomePage() {
<Feature
icon={Footprints}
subheading="Progressive"
heading="Adding AI feature from simple to complex"
description="LlamaIndex.TS is designed to be simple to start with and can be extended to build complex AI applications."
heading="From the simplest to the most complex"
description="LlamaIndex.TS is designed to be simple to get started, but powerful enough to build complex, agentic AI applications."
>
<Suspense
fallback={
......@@ -113,9 +114,9 @@ const response = await agent.chat({
</Feature>
<Feature
icon={Bot}
subheading="Agent"
heading="Build agent for RAG"
description="Build agents for RAG using LlamaIndex.TS. Agents are the core building blocks of RAG applications."
subheading="Agents"
heading="Build agentic RAG applications"
description="Truly powerful retrieval-augmented generation applications use agentic techniques, and LlamaIndex.TS makes it easy to build them."
>
<CodeBlock
code={`import { FunctionTool } from "llamaindex";
......@@ -137,19 +138,19 @@ await agent.chat('...');`}
<Feature
icon={Blocks}
subheading="Providers"
heading="LLM / Data Loader / Vector Store"
description="LlamaIndex.TS provides various providers to turn your data into valuable insights."
heading="LLMs, Data Loaders, Vector Stores and more!"
description="LlamaIndex.TS has hundreds of integrations to connect to your data, index it, and query it with LLMs."
>
<div className="mt-8 flex flex-col gap-8">
<div>
<h3 className="text-lg font-semibold text-fd-muted-foreground mb-2">
LLM
LLMs
</h3>
<InfiniteLLMProviders />
</div>
<div>
<h3 className="text-lg font-semibold text-fd-muted-foreground mb-2">
Vector Store
Vector Stores
</h3>
<InfiniteVectorStoreProviders />
</div>
......@@ -157,8 +158,8 @@ await agent.chat('...');`}
</Feature>
<Feature
icon={Terminal}
subheading="Create Llama CLI"
heading="CLI for starting RAG app with one line"
subheading="create-llama CLI"
heading="Build a RAG app with a single command"
description="A command line tool to generate LlamaIndex apps, the easiest way to get started with LlamaIndex."
>
<div className="my-6">
......
......@@ -7,9 +7,8 @@ import { ReactElement } from "react";
export function Contributing(): ReactElement {
return (
<div className="flex flex-col items-center border-x border-t px-4 py-16 text-center">
<Heart className="mb-4" />
<h2 className="mb-4 text-xl font-semibold sm:text-2xl">
Made Possible by You.
Made possible by you <Heart className="inline align-middle" />
</h2>
<p className="mb-4 text-fd-muted-foreground">
LlamaIndex.TS is powered by the open source community.
......
......@@ -53,9 +53,6 @@ export default async function ContributorCounter({
</div>
) : null}
</div>
<div className="text-center text-sm text-fd-muted-foreground">
Some of our best contributors.
</div>
</div>
);
}
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