35 lines
685 B
Markdown
35 lines
685 B
Markdown
---
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layout: default
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---
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# Paso 2: Indexar en Qdrant
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```typescript
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import { QdrantVectorStore } from "@langchain/qdrant";
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import { OpenAIEmbeddings } from "@langchain/openai";
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const embeddings = new OpenAIEmbeddings();
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// Crear colección e insertar chunks con sus embeddings
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const vectorStore = await QdrantVectorStore.fromDocuments(
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chunks,
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embeddings,
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{
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url: "http://localhost:6333",
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collectionName: "manuales",
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}
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);
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console.log(`✅ ${chunks.length} chunks indexados en Qdrant`);
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```
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<v-click>
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<div class="mt-4 p-3 bg-green-500/10 rounded text-sm">
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`fromDocuments` hace todo: genera embeddings + crea la colección + inserta los vectores
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</div>
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</v-click>
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