diff --git a/pysdsl/__init__.cpp b/pysdsl/__init__.cpp
index 4376ce2..8f31801 100644
--- a/pysdsl/__init__.cpp
+++ b/pysdsl/__init__.cpp
@@ -16,6 +16,7 @@
 #include "types/intvector.hpp"
 #include "types/suffixarray.hpp"
 #include "types/wavelet.hpp"
+#include "types/rmq.hpp"
 
 namespace py = pybind11;
 
@@ -43,6 +44,11 @@ PYBIND11_MODULE(pysdsl, m)
 
     auto csa_classes = add_csa(m);
 
+    auto rmq_classes_tuple = add_rmq_classes(m, iv_classes_as_params);
+    auto& rmq_sparse_tables = std::get<0>(rmq_classes_tuple);
+    auto& rmq_sada = std::get<1>(rmq_classes_tuple);
+    auto& rmq_sct = std::get<2>(rmq_classes_tuple);
+
     for_each_in_tuple(iv_classes, make_inits_many_functor(iv_classes));
     for_each_in_tuple(iv_classes, make_inits_many_functor(enc_classes));
     for_each_in_tuple(iv_classes,
diff --git a/pysdsl/docstrings.hpp b/pysdsl/docstrings.hpp
index 5995f37..fa87b74 100644
--- a/pysdsl/docstrings.hpp
+++ b/pysdsl/docstrings.hpp
@@ -258,3 +258,18 @@ const char* doc_csa_wt(
     "A class for the Compressed Suffix Array (CSA) based on a Wavelet Tree "
     "(WT) of the Burrow Wheeler Transform of the original text."
 );
+
+const char* doc_rmq_sada(
+    "A class to support range minimum or range maximum queries on a random access container "
+    "in constant time and 4n+o(n) bits space."
+);
+
+const char* doc_rmq_sparse_table(
+    "A class to support range minimum or range maximum queries on a random access container "
+    "in constant time and O( n log^2(n) ) bits space."
+);
+
+const char* doc_rmq_sct(
+    "A class to support range minimum or range maximum queries on a random access container "
+    "in constant time and 2n+o(n) bits space."
+);
diff --git a/pysdsl/types/rmq.hpp b/pysdsl/types/rmq.hpp
new file mode 100644
index 0000000..724baac
--- /dev/null
+++ b/pysdsl/types/rmq.hpp
@@ -0,0 +1,236 @@
+#pragma once
+
+#include <string>
+#include <tuple>
+#include <utility>
+
+#include <pybind11/pybind11.h>
+
+#include <sdsl/rmq_support_sparse_table.hpp>
+#include <sdsl/rmq_succinct_sada.hpp>
+
+#include "operations/sizes.hpp"
+#include "operations/iteration.hpp"
+#include "util/tupletricks.hpp"
+#include "docstrings.hpp"
+#include "io.hpp"
+#include "calc.hpp"
+
+
+
+namespace detail {
+// adds constructors of t_rac... containers
+template <typename PybindClass, typename... t_rac> 
+typename std::enable_if<sizeof...(t_rac) == 0>::type add_rac_constructor(const PybindClass&) {}
+
+template <typename PybindClass, typename t_rac_head, typename... t_rac_tail>
+void add_rac_constructor(PybindClass& cls)
+{
+    cls.def(py::init([](const t_rac_head* rac) {
+        return typename PybindClass::type(rac);
+    }));
+    add_rac_constructor<PybindClass, t_rac_tail...>(cls);
+}
+
+} // namespace details
+
+
+// containers names for sparse
+namespace RAC_names {
+    constexpr char INT_VECTOR_NAME[] = "IntVector",
+                   INT16_VECTOR_NAME[] = "Int16Vector";
+}
+
+
+struct add_rmq_sparse_table_functor {
+    py::module& m;
+    const char* doc;
+
+    constexpr add_rmq_sparse_table_functor(py::module& m, const char* doc = nullptr)
+        : m(m), doc(doc) {}
+
+    template <typename t_rac, const char* rac_name, bool t_min>
+    decltype(auto) operator()(std::tuple<t_rac, 
+                                         std::integral_constant<const char*, rac_name>, 
+                                         std::integral_constant<bool, t_min>>)
+    {
+        using Table = sdsl::rmq_support_sparse_table<t_rac, t_min>;
+        using size_type = typename Table::size_type;
+
+        std::string name = 
+            std::string("Range") + (t_min ? "Min" : "Max") + "QuerySparseTable_for_" + rac_name;
+
+        auto cls = py::class_<Table>(m, name.c_str())
+            .def(py::init([](const t_rac* rac) {return Table(rac);}))
+            .def("set_vector", &Table::set_vector,
+                 "Sets a vector rmq is processed on.")
+            .def("__call__",
+                (size_type (Table::*)(size_type, size_type) const)& Table::operator(),
+                 (std::string("Returns an index of the ") + (t_min ? "minimal" : "maximal") +
+                             " value on the segment [l,r].").c_str());
+    
+        add_sizes(cls);
+        add_description(cls);
+
+        // load takes two params
+        // add_serialization(cls);
+
+        cls.doc() = doc;
+
+        std::string key = std::string(t_min ? "Min" : "Max") + "_in_" + rac_name;
+
+        m.attr("rmq_sparse_tables").attr("__setitem__")(key, cls);
+        m.attr((std::string("all_range_") + (t_min ? "min" : "max") + "_classes").c_str())
+            .attr("append")(cls);
+
+        return cls;
+    }
+};
+
+
+struct add_rmq_sada_functor {
+    py::module& m;
+    const char* doc;
+
+    constexpr add_rmq_sada_functor(py::module& m, const char* doc = nullptr)
+        : m(m), doc(doc) {}
+
+
+    template <typename... t_rac, bool t_min>
+    decltype(auto) operator()(std::tuple<std::tuple<t_rac...>,
+                                         std::integral_constant<bool, t_min>>)
+    {
+        using RMQClass = typename std::conditional<t_min, sdsl::rmq_succinct_sada<>,
+                                        typename sdsl::range_maximum_support_sada<>::type>::type;
+        using size_type = typename RMQClass::size_type;
+
+        std::string name =
+            std::string("Range") + (t_min ? "Min" : "Max") + "QuerySuccintSada";
+
+        auto cls = py::class_<RMQClass>(m, name.c_str())
+            .def(py::init())
+            .def("__call__",
+                (size_type (RMQClass::*)(size_type, size_type) const)& RMQClass::operator(),
+                 (std::string("Returns an index of the ") + (t_min ? "minimal" : "maximal") +
+                              " value on the segment [l,r].").c_str());;
+
+        detail::add_rac_constructor<decltype(cls), t_rac...>(cls);
+
+        add_sizes(cls);
+        add_description(cls);
+        add_serialization(cls);
+
+        cls.doc() = doc;
+
+        m.attr("rmq_sada").attr("__setitem__")(t_min ? "Min" : "Max", cls);
+        m.attr((std::string("all_range_") + (t_min ? "min" : "max") + "_classes").c_str())
+            .attr("append")(cls);
+
+        return cls;
+    }
+};
+
+
+struct add_rmq_sct_functor {
+    py::module& m;
+    const char* doc;
+
+    constexpr add_rmq_sct_functor(py::module& m, const char* doc = nullptr)
+        : m(m), doc(doc) {}
+
+
+    template <typename... t_rac, bool t_min>
+    decltype(auto) operator()(std::tuple<std::tuple<t_rac...>,
+                                         std::integral_constant<bool, t_min>>)
+    {
+        using RMQClass = typename std::conditional<t_min, sdsl::rmq_succinct_sct<>,
+                                                typename sdsl::range_maximum_sct<>::type>::type;
+        using size_type = typename RMQClass::size_type;
+
+        std::string name =
+            std::string("Range") + (t_min ? "Min" : "Max") + "QuerySuccintSct";
+
+        auto cls = py::class_<RMQClass>(m, name.c_str())
+            .def(py::init())
+            .def("__call__",
+                (size_type (RMQClass::*)(size_type, size_type) const)& RMQClass::operator(),
+                 (std::string("Returns an index of the ") + (t_min ? "minimal" : "maximal") +
+                             " value on the segment [l,r].").c_str());
+
+
+        detail::add_rac_constructor<decltype(cls), t_rac...>(cls);
+
+        add_sizes(cls);
+        add_description(cls);
+        add_serialization(cls);
+
+        cls.doc() = doc;
+
+        m.attr("rmq_sct").attr("__setitem__")(t_min ? "Min" : "Max", cls);
+        m.attr((std::string("all_range_") + (t_min ? "min" : "max") + "_classes").c_str())
+            .attr("append")(cls);
+
+        return cls;
+    }
+};
+
+
+// generalized (constants -> typenames) template for usage with GeneralSubsetFunctor
+template <typename t_rac, typename t_min_integral_constant>
+using general_rmq_sparse_table =
+    py::class_<sdsl::rmq_support_sparse_table<t_rac, t_min_integral_constant::value>>;
+
+template <typename t_min_integral_constant>
+using general_rmq_sada = py::class_<
+    typename std::conditional<t_min_integral_constant::value, 
+                              sdsl::rmq_succinct_sada<>, 
+                              typename sdsl::range_maximum_support_sada<>::type>::type>;
+
+template <typename t_min_integral_constant>
+using general_rmq_sct = py::class_<
+    typename std::conditional<t_min_integral_constant::value,
+                              sdsl::rmq_succinct_sct<>,
+                              typename sdsl::range_maximum_sct<>::type>::type>;
+
+
+template <typename... Ts>
+static
+auto make_rmq_params(const std::tuple<py::class_<Ts>&...>& params) {
+    return std::tuple<std::tuple<std::tuple<Ts...>, std::integral_constant<bool, true>>,
+                      std::tuple<std::tuple<Ts...>, std::integral_constant<bool, false>>>();
+}
+
+
+template <typename... Ts>
+inline auto add_rmq_classes(py::module& m, const std::tuple<py::class_<Ts>&...>& params)
+{
+    m.attr("rmq_sparse_tables") = py::dict();
+    m.attr("rmq_sada") = py::dict();
+    m.attr("rmq_sct") = py::dict();
+    m.attr("all_range_min_classes") = py::list();
+    m.attr("all_range_max_classes") = py::list();
+
+    using rmq_support_sparse_table_params = std::tuple<
+        std::tuple<sdsl::int_vector<>,
+                   std::integral_constant<const char*, RAC_names::INT_VECTOR_NAME>,
+                   std::integral_constant<bool, true>>,
+        std::tuple<sdsl::int_vector<>, 
+                   std::integral_constant<const char*, RAC_names::INT_VECTOR_NAME>,
+                   std::integral_constant<bool, false>>,
+        std::tuple<sdsl::int_vector<16>, 
+                   std::integral_constant<const char*, RAC_names::INT16_VECTOR_NAME>,
+                   std::integral_constant<bool, true>>,
+        std::tuple<sdsl::int_vector<16>, 
+                   std::integral_constant<const char*, RAC_names::INT16_VECTOR_NAME>,
+                   std::integral_constant<bool, false>>
+    >;
+
+    auto rmq_sparse_tables = for_each_in_tuple(rmq_support_sparse_table_params(), 
+                                add_rmq_sparse_table_functor(m, doc_rmq_sparse_table));
+    auto rmq_sada_classes = for_each_in_tuple(make_rmq_params(params),
+                                add_rmq_sada_functor(m, doc_rmq_sada));
+    auto rmq_sct_classes = for_each_in_tuple(make_rmq_params(params),
+                                add_rmq_sct_functor(m, doc_rmq_sct));
+    
+    return std::make_tuple(rmq_sparse_tables, rmq_sada_classes, rmq_sct_classes);
+}
diff --git a/pysdsl/util/tupletricks.hpp b/pysdsl/util/tupletricks.hpp
index a1c030f..283d66a 100644
--- a/pysdsl/util/tupletricks.hpp
+++ b/pysdsl/util/tupletricks.hpp
@@ -91,4 +91,3 @@ template <template <typename...> typename general_template, typename... Ts>
 auto make_general_subset_functor(std::tuple<Ts...>& tpl) {
     return GeneralSubsetFunctor<general_template, Ts...>(tpl);
 }
-
diff --git a/tests/test_rmq.py b/tests/test_rmq.py
new file mode 100644
index 0000000..b4ebc69
--- /dev/null
+++ b/tests/test_rmq.py
@@ -0,0 +1,65 @@
+import random
+import pytest
+
+from pysdsl import Int8Vector, Int64Vector
+from pysdsl import rmq_sada, rmq_sct
+
+
+
+
+def _test_rmq(rmq_class, container_class, target):
+    cont = container_class(50)
+    a = []
+
+    for i in range(50):
+        a.append(random.randint(0, 50))
+        cont[i] = a[i]
+
+    rmq = rmq_class(cont)
+
+    for _ in range(50):
+        l = random.randint(0, 49)
+        r = random.randint(l, 49)
+
+        i = rmq(l, r)
+
+        assert cont[i] == target(a[l:r+1])
+
+
+
+@pytest.mark.parametrize('container_class', (Int8Vector, Int64Vector))
+def test_rmq_sada(container_class):
+    _test_rmq(rmq_sada['Min'], container_class, min)
+    _test_rmq(rmq_sada['Max'], container_class, max)
+
+
+@pytest.mark.parametrize('container_class', (Int8Vector, Int64Vector))
+def test_rmq_sct(container_class):
+    _test_rmq(rmq_sct['Min'], container_class, min)
+    _test_rmq(rmq_sct['Max'], container_class, max)
+
+
+
+@pytest.mark.parametrize("rmq_class", list(rmq_sada.values()) + list(rmq_sct.values()))
+def test_rmq_on_container_remove(rmq_class):
+    cont = Int64Vector(3)
+    
+    cont[0] = 1
+    cont[1] = 2
+    cont[2] = 3
+    
+    rmq = rmq_class(cont)
+
+    ans1 = rmq(0, 2)
+
+    cont[0] = 3
+    cont[1] = 2
+    cont[2] = 1
+
+    ans2 = rmq(0, 2)
+    assert ans1 == ans2
+
+    cont = None
+
+    ans2 = rmq(0, 2)
+    assert ans1 == ans2