initial commit: slides + practica_resueltos + README

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

slides/pages/rag/14.md

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+---
+layout: default
+---
+
+# Qdrant - Crear e insertar
+
+```typescript
+import { QdrantVectorStore } from "@langchain/qdrant";
+import { OpenAIEmbeddings } from "@langchain/openai";
+
+const vectorStore = await QdrantVectorStore.fromTexts(
+  [
+    "LangChain es un framework para aplicaciones con LLMs",
+    "Los embeddings capturan el significado del texto",
+    "RAG combina búsqueda con generación de texto",
+  ],
+  [{ source: "doc1" }, { source: "doc2" }, { source: "doc3" }],
+  new OpenAIEmbeddings(),
+  {
+    url: "http://localhost:6333",
+    collectionName: "langchain_docs",
+  }
+);
+
+console.log("Documentos indexados correctamente");
+```