dgx-spark-playbooks/nvidia/txt2kg/assets/frontend/app/document-data/page.tsx

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2025-12-02 19:43:52 +00:00
//
// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
2025-10-06 17:05:41 +00:00
import { DocumentsTable } from "@/components/documents-table";
import { DocumentProcessor } from "@/components/document-processor";
export default function DocumentDataPage() {
return (
<div className="container mx-auto py-8">
<h1 className="text-2xl font-bold mb-6">Document Knowledge Graph Builder</h1>
<p className="mb-4 text-muted-foreground">
Process documents to extract knowledge triples and generate embeddings using LangChain.
</p>
<div className="grid grid-cols-1 xl:grid-cols-3 gap-8">
<div className="xl:col-span-1">
<DocumentProcessor className="sticky top-8" />
</div>
<div className="xl:col-span-2">
<div className="bg-card rounded-lg border border-border shadow-sm overflow-hidden">
<div className="p-5 border-b border-border">
<h2 className="text-xl font-semibold">Documents</h2>
<p className="text-sm text-muted-foreground mt-1">
Manage your documents and generate embeddings directly from the table
</p>
</div>
<DocumentsTable />
</div>
</div>
</div>
</div>
);
}