Nomad changes

docs/snippets/ruby/advanced/chunking_rag.md

@@ -0,0 +1,45 @@
+```ruby title="Ruby"
+require 'kreuzberg'
+
+config = Kreuzberg::ExtractionConfig.new(
+  chunking: Kreuzberg::ChunkingConfig.new(
+    max_characters: 500,
+    overlap: 50,
+    embedding: Kreuzberg::EmbeddingConfig.new(
+      model: Kreuzberg::EmbeddingModelType.new(
+        type: 'preset',
+        name: 'all-mpnet-base-v2'
+      ),
+      normalize: true,
+      batch_size: 16
+    )
+  )
+)
+
+result = Kreuzberg.extract_file_sync('research_paper.pdf', config: config)
+
+vector_store = build_vector_store(result.chunks)
+query = 'machine learning optimization'
+relevant_chunks = search_vector_store(vector_store, query)
+
+puts "Found #{relevant_chunks.length} relevant chunks"
+relevant_chunks.take(3).each do |chunk|
+  puts "Content: #{chunk[:content][0..80]}..."
+  puts "Similarity: #{chunk[:similarity]&.round(3)}\n"
+end
+
+def build_vector_store(chunks)
+  chunks.map.with_index do |chunk, idx|
+    {
+      id: idx,
+      content: chunk.content,
+      embedding: chunk.embedding,
+      similarity: 0.0
+    }
+  end
+end
+
+def search_vector_store(store, query)
+  store.sort_by { |entry| entry[:similarity] }.reverse
+end
+```