diff --git a/tutorials/io/ntuple/index.md b/tutorials/io/ntuple/index.md
index 07171423a0cf3..3269cfb2405f3 100644
--- a/tutorials/io/ntuple/index.md
+++ b/tutorials/io/ntuple/index.md
@@ -18,3 +18,6 @@ RNTuple is the evolution of TTree, offering better performance and new, more rob
 | ntpl013_staged.C | Apply staged cluster committing to multithreaded writing with the RNTupleParallelWriter |
 | ntpl014_framework.C | Use the various (more advanced) RNTuple interfaces to write data in the context of a framework |
 | ntpl015_processor_join.C | Join the entries from two RNTuples on a common field value and read it using the RNTupleProcessor |
+| ntpl016_streaming_vector.C | A special purpose container that reads large vectors piece-wise |
+| ntpl017_shared_reader.C | Efficient multi-threaded reading when multiple threads share a single reader |
+| ntpl018_low_precision_floats.C | Creating low-precision floating point fields |
diff --git a/tutorials/io/ntuple/ntpl018_low_precision_floats.C b/tutorials/io/ntuple/ntpl018_low_precision_floats.C
new file mode 100644
index 0000000000000..5832f231c2d79
--- /dev/null
+++ b/tutorials/io/ntuple/ntpl018_low_precision_floats.C
@@ -0,0 +1,149 @@
+/// \file
+/// \ingroup tutorial_ntuple
+/// \notebook
+/// Example creating low-precision floating point fields in RNTuple
+///
+/// RNTuple supports storing floating points on disk with less precision than their in-memory representation.
+/// Under the right circumstances, this can in save storage space while not significantly altering the results
+/// of an analysis.
+///
+/// Storing low-precision floats is done by setting their column representation to one of the dedicated column types:
+/// - Real16 (half-precision IEEE754 fp),
+/// - Real32Trunc (single-precision IEEE754 with truncated mantissa, using from 10 to 31 bits in total) and
+/// - Real32Quant (floating point within a specified range, represented as an integer with N bits of precision in a
+///   linear quantized form).
+///
+/// To use these column types in RNTuple, one creates a RField<float> or RField<double> and sets its desired column
+/// representation by calling, respectively:
+/// - RField<float>::SetHalfPrecision()  (for Real16)
+/// - RField<float>::SetTruncated()      (for Real32Trunc)
+/// - RField<float>::SetQuantized()      (for Real32Quant)
+///
+/// Other than these, one can also setup the field to use the ROOT `Double32_t` type, either via
+/// RField<double>::SetDouble32() or by directly creating one such field via RFieldBase::Create("f", "Double32_t").
+///
+/// \macro_image
+/// \macro_code
+///
+/// \date February 2026
+/// \author The ROOT Team
+
+static constexpr char const *kNTupleName = "ntpl";
+static constexpr char const *kNTupleFileName = "ntpl018_low_precision_floats.root";
+static constexpr int kNEvents = 50;
+
+struct Event {
+   std::vector<float> fPt;
+   std::vector<double> fE;
+};
+
+static void Write()
+{
+   auto model = ROOT::RNTupleModel::Create();
+
+   // Create 3 float fields: one backed by a Real16 column, one backed by a Real32Trunc column
+   // and one backed by a Real32Quant column.
+   // Since we need to call methods on the RField objects in order to make them into our specific column types,
+   // we don't use MakeField but rather we explicitly create the RFields and then use AddField on the model.
+   {
+      auto fieldReal16 = std::make_unique<ROOT::RField<float>>("myReal16");
+      fieldReal16->SetHalfPrecision(); // this is now a Real16-backed float field
+      model->AddField(std::move(fieldReal16));
+   }
+   {
+      auto fieldReal32Trunc = std::make_unique<ROOT::RField<float>>("myReal32Trunc");
+      // Let's say we want 20 bits of precision. This means that this float's mantissa will be truncated to (20 - 9) =
+      // 11 bits.
+      fieldReal32Trunc->SetTruncated(20);
+      model->AddField(std::move(fieldReal32Trunc));
+   }
+   {
+      auto fieldReal32Quant = std::make_unique<ROOT::RField<float>>("myReal32Quant");
+      // Declare that this field will never store values outside of the [-1, 1] range (this will be checked dynamically)
+      // and that we want to dedicate 24 bits to this number on disk.
+      fieldReal32Quant->SetQuantized(-1., 1., 24);
+      model->AddField(std::move(fieldReal32Quant));
+   }
+
+   // We can also change the column type of a struct/class subfield:
+   {
+      auto fieldEvents = std::make_unique<ROOT::RField<Event>>("myEvents");
+      // Note that we iterate over `*fieldEvents`, not over fieldEvents->GetMutableSubfields(), as the latter won't
+      // recurse into fieldEvents's grandchildren. By iterating over the field itself we are sure to visit the entire
+      // field hierarchy, including the fields we need to change.
+      // The hierarchy of fieldEvents is like this:
+      //
+      //     myEvents: RField<Event>
+      //        fPt:   RField<vector<float>>
+      //           _0: RField<float>           <-- we need to change this
+      //        fE:    RField<vector<double>
+      //           _0: RField<double>          <-- we need to change this
+      //
+      for (auto &field : *fieldEvents) {
+         if (auto *fldDouble = dynamic_cast<ROOT::RField<double> *>(&field)) {
+            std::cout << "Setting field " << field.GetQualifiedFieldName() << " to truncated.\n";
+            fldDouble->SetTruncated(16);
+         } else if (auto *fldFloat = dynamic_cast<ROOT::RField<float> *>(&field)) {
+            std::cout << "Setting field " << field.GetQualifiedFieldName() << " to truncated.\n";
+            fldFloat->SetTruncated(16);
+         }
+      }
+      model->AddField(std::move(fieldEvents));
+   }
+
+   // Get the pointers to the fields we just added:
+   const auto &entry = model->GetDefaultEntry();
+   auto myReal16 = entry.GetPtr<float>("myReal16");
+   auto myReal32Trunc = entry.GetPtr<float>("myReal32Trunc");
+   auto myReal32Quant = entry.GetPtr<float>("myReal32Quant");
+   auto myEvents = entry.GetPtr<Event>("myEvents");
+
+   auto writer = ROOT::RNTupleWriter::Recreate(std::move(model), kNTupleName, kNTupleFileName);
+
+   // fill our entries
+   gRandom->SetSeed();
+   for (int i = 0; i < kNEvents; i++) {
+      *myReal16 = gRandom->Rndm();
+      *myReal32Trunc = gRandom->Rndm();
+      *myReal32Quant = gRandom->Rndm();
+      myEvents->fPt.push_back(i);
+      myEvents->fE.push_back(i);
+      writer->Fill();
+   }
+}
+
+static void Read()
+{
+   auto reader = ROOT::RNTupleReader::Open(kNTupleName, kNTupleFileName);
+
+   // We can read back our fields as regular floats. We can also read them as double if we impose our own model when
+   // creating the reader.
+   const auto &entry = reader->GetModel().GetDefaultEntry();
+   auto myReal16 = entry.GetPtr<float>("myReal16");
+   auto myReal32Trunc = entry.GetPtr<float>("myReal32Trunc");
+   auto myReal32Quant = entry.GetPtr<float>("myReal32Quant");
+   auto myEvents = entry.GetPtr<Event>("myEvents");
+
+   for (auto idx : reader->GetEntryRange()) {
+      reader->LoadEntry(idx);
+
+      float eventsAvgPt = 0.f;
+      for (float pt : myEvents->fPt)
+         eventsAvgPt += pt;
+      eventsAvgPt /= myEvents->fPt.size();
+      double eventsAvgE = 0.f;
+      for (double e : myEvents->fE)
+         eventsAvgE += e;
+      eventsAvgE /= myEvents->fE.size();
+
+      std::cout << "[" << idx << "] Real16: " << *myReal16 << ", Real32Trunc: " << *myReal32Trunc
+                << ", Real32Quant: " << *myReal32Quant << ", Events avg pt: " << eventsAvgPt << ", E: " << eventsAvgE
+                << "\n";
+   }
+}
+
+void ntpl018_low_precision_floats()
+{
+   Write();
+   Read();
+}