First commmit

config.example.yaml

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+# Configuración de Google Cloud Platform
+project_id: "tu-proyecto-gcp"
+location: "us-central1"  # o us-east1, europe-west1, etc.
+bucket: "tu-bucket-nombre"
+
+# Configuración del índice vectorial
+index:
+  name: "mi-indice-rag"
+  dimensions: 768  # Para text-embedding-005 usa 768
+  machine_type: "e2-standard-2"  # Tipo de máquina para el endpoint
+  approximate_neighbors_count: 150
+  distance_measure_type: "DOT_PRODUCT_DISTANCE"  # O "COSINE_DISTANCE", "EUCLIDEAN_DISTANCE"
+
+# Configuración de embeddings
+embedder:
+  model_name: "text-embedding-005"
+  task: "RETRIEVAL_DOCUMENT"  # O "RETRIEVAL_QUERY" para queries
+
+# Configuración de LLM para chunking
+llm:
+  model: "gemini-2.0-flash"  # O "gemini-1.5-pro", "gemini-1.5-flash"
+
+# Configuración de chunking
+chunking:
+  strategy: "contextual"  # "recursive", "contextual", "llm"
+  max_chunk_size: 800
+  chunk_overlap: 200  # Solo para LLMChunker
+  merge_related: true  # Solo para LLMChunker
+  extract_images: true  # Solo para LLMChunker