diff --git a/__tests__/dijkstra_test.re b/__tests__/dijkstra_test.re
new file mode 100644
index 0000000..5b36994
--- /dev/null
+++ b/__tests__/dijkstra_test.re
@@ -0,0 +1,132 @@
+open Jest;
+open Expect;
+
+describe("Breadth First Search", () => {
+    open Dijkstra;
+
+    let infinity = Pervasives.max_int;
+
+    test("single node", () => {
+
+        let adj_list = [{id: "A", neighbours: []}];
+
+        let expected_dist = 0;
+        let expected_prev = None;
+
+        let {dist, prev} = search(adj_list, [],  "A");
+        let dist = Hashtbl.find(dist, "A");
+        let prev = Hashtbl.find(prev, "A");
+
+        expect((dist, prev)) |> toEqual((expected_dist, expected_prev));
+    });
+
+    test("simple unidirectional cycle", () => {
+
+        let adj_list = [
+            {id: "A", neighbours: ["B"]},
+            {id: "B", neighbours: ["C"]}, 
+            {id: "C", neighbours: ["D"]}, 
+            {id: "D", neighbours: ["A"]}];
+
+        let weight_list = [
+            {tail: "A", head: "B", weight: 1},
+            {tail: "B", head: "C", weight: 1},
+            {tail: "C", head: "D", weight: 1},
+            {tail: "D", head: "A", weight: 1}]
+
+        let expected_dists = (0, 1, 2, 3);
+        let expected_prevs = (None, Some("A"), Some("B"), Some("C"));
+
+        let {dist, prev} = search(adj_list, weight_list, "A");
+
+        let dists = (
+            Hashtbl.find(dist, "A"),
+            Hashtbl.find(dist, "B"),
+            Hashtbl.find(dist, "C"), 
+            Hashtbl.find(dist, "D"));
+        
+        let prevs = (
+            Hashtbl.find(prev, "A"),
+            Hashtbl.find(prev, "B"),
+            Hashtbl.find(prev, "C"), 
+            Hashtbl.find(prev, "D"));
+
+            expect((dists, prevs)) |> toEqual((expected_dists, expected_prevs));
+    });
+    
+    test("complete biderectional graph", () => {
+
+        let adj_list = [
+            {id: "A", neighbours: ["B", "C", "D"]},
+            {id: "B", neighbours: ["A", "C", "D"]}, 
+            {id: "C", neighbours: ["A", "B", "D"]}, 
+            {id: "D", neighbours: ["A", "B", "C"]}];
+
+            let weight_list = [
+                {tail: "A", head: "B", weight: 2},
+                {tail: "A", head: "C", weight: 5},
+                {tail: "A", head: "D", weight: 5},
+                {tail: "B", head: "A", weight: 1},
+                {tail: "B", head: "C", weight: 1},
+                {tail: "B", head: "D", weight: 3},
+                {tail: "C", head: "A", weight: 1},
+                {tail: "C", head: "B", weight: 1},
+                {tail: "C", head: "D", weight: 1},
+                {tail: "D", head: "A", weight: 1},
+                {tail: "D", head: "B", weight: 1},
+                {tail: "D", head: "C", weight: 1}]
+    
+            let expected_dists = (0, 2, 3, 4);
+            let expected_prevs = (None, Some("A"), Some("B"), Some("C"));
+    
+            let {dist, prev} = search(adj_list, weight_list, "A");
+    
+            let dists = (
+                Hashtbl.find(dist, "A"),
+                Hashtbl.find(dist, "B"),
+                Hashtbl.find(dist, "C"), 
+                Hashtbl.find(dist, "D"));
+            
+            let prevs = (
+                Hashtbl.find(prev, "A"),
+                Hashtbl.find(prev, "B"),
+                Hashtbl.find(prev, "C"), 
+                Hashtbl.find(prev, "D"));
+    
+                expect((dists, prevs)) |> toEqual((expected_dists, expected_prevs));
+    });
+
+    test("forest", () => {
+
+        let adj_list = [
+            {id: "A", neighbours: ["B"]},
+            {id: "B", neighbours: ["A"]}, 
+            {id: "C", neighbours: ["D"]}, 
+            {id: "D", neighbours: ["C"]}];
+
+        let weight_list = [
+            {tail: "A", head: "B", weight: 1},
+            {tail: "B", head: "A", weight: 1},
+            {tail: "C", head: "D", weight: 1},
+            {tail: "D", head: "C", weight: 1}]
+
+        let expected_dists = (0, 1, infinity, infinity);
+        let expected_prevs = (None, Some("A"), None, None);
+
+        let {dist, prev} = search(adj_list, weight_list, "A");
+
+        let dists = (
+            Hashtbl.find(dist, "A"),
+            Hashtbl.find(dist, "B"),
+            Hashtbl.find(dist, "C"), 
+            Hashtbl.find(dist, "D"));
+        
+        let prevs = (
+            Hashtbl.find(prev, "A"),
+            Hashtbl.find(prev, "B"),
+            Hashtbl.find(prev, "C"), 
+            Hashtbl.find(prev, "D"));
+
+            expect((dists, prevs)) |> toEqual((expected_dists, expected_prevs));
+    });
+});
\ No newline at end of file
diff --git a/src/graphs/Dijkstra.re b/src/graphs/Dijkstra.re
new file mode 100644
index 0000000..d177286
--- /dev/null
+++ b/src/graphs/Dijkstra.re
@@ -0,0 +1,151 @@
+type node = {
+    id: string,
+    neighbours: list(string),
+};
+
+type directedGraph = list(node);
+
+type edge = {
+    tail: string,
+    head: string,
+    weight: int,
+};
+
+type resultType = {
+    dist: Hashtbl.t(string, int),
+    prev: Hashtbl.t(string, option(string))
+};
+
+exception Not_found(string);
+
+let infinity = Pervasives.max_int;
+
+let parseAdjList = adj_list => {
+    let adj_tbl = Hashtbl.create(List.length(adj_list));
+    let insert = ({id, neighbours}) => {
+        Hashtbl.add(adj_tbl, id, neighbours);
+    };
+
+    List.iter(insert, adj_list);
+    let validateNeighbours = node => {
+        List.iter(neighbour => {
+            if (!Hashtbl.mem(adj_tbl, neighbour)) {
+                raise(Not_found(neighbour));
+            }
+        }, node.neighbours);
+    };
+
+    List.iter(validateNeighbours, adj_list);
+    adj_tbl;
+};
+
+let parseWeights = (weight_list, adj_list) => {
+    let weight_tbl = Hashtbl.create(List.length(adj_list));
+    let initializeWeights = ({id, neighbours}) => {
+        let adj_edge_weights = Hashtbl.create(List.length(neighbours));
+        Hashtbl.add(weight_tbl, id, adj_edge_weights);
+    };
+
+    List.iter(initializeWeights, adj_list);
+    let insertWeight = ({tail, head, weight}) => {
+        let adj_edge_weights = Hashtbl.find(weight_tbl, tail);
+        Hashtbl.add(adj_edge_weights, head, weight);
+    };
+
+    List.iter(insertWeight, weight_list);
+    weight_tbl;
+};
+
+let initializeDist = (adj_list, source_id) => {
+    let dist = Hashtbl.create(List.length(adj_list));
+    let initialize = ({id, _}) => {
+        Hashtbl.add(dist, id, infinity);    
+    };
+
+    List.iter(initialize, adj_list);
+    Hashtbl.replace(dist, source_id, 0);
+    dist;
+};
+
+let initializePrev = adj_list => {
+    let prev = Hashtbl.create(List.length(adj_list));
+    let initialize = ({id, _}) => {
+        Hashtbl.add(prev, id, None);
+    };
+
+    List.iter(initialize, adj_list);
+    prev;
+};
+
+let getEdgeWeight = (weight_tbl, tail, head) => {
+    let adj_edge_weights = Hashtbl.find(weight_tbl, tail);
+    Hashtbl.find(adj_edge_weights, head);
+};
+
+let add = (a, b) => {
+    if (a == infinity || b == infinity) {
+        infinity;
+    } else {
+        a + b;
+    };
+};
+
+let rec traverse = (~queue, ~adj_tbl, ~weight_tbl, ~dist, ~prev) => {
+    switch (Heap.size(queue)) {
+    | 0 => ();
+    | _ => {
+        let current_id = Heap.extract(queue);
+        let neighbours = Hashtbl.find(adj_tbl, current_id);
+        
+        let updateDist = neighbour_id => {
+            let neighbour_dist = Hashtbl.find(dist, neighbour_id);
+            let current_dist = Hashtbl.find(dist, current_id);
+            let edge_weight = getEdgeWeight(weight_tbl, current_id, neighbour_id);
+            let alt_dist = add(current_dist, edge_weight);
+
+            if (alt_dist < neighbour_dist) {
+                Hashtbl.replace(dist, neighbour_id, alt_dist);
+                Hashtbl.replace(prev, neighbour_id, Some(current_id));
+                Heap.remove(queue, (key, _) => key == neighbour_id) |> ignore;
+                Heap.add(queue, neighbour_id, neighbour_id);
+            };
+        };
+        
+        List.iter(updateDist, neighbours);
+        traverse(
+            ~queue=queue,
+            ~adj_tbl=adj_tbl,
+            ~weight_tbl=weight_tbl,
+            ~dist=dist, 
+            ~prev=prev);
+    };
+    };
+};
+
+let search = (adj_list, weights, source_id) => {
+    let prev = initializePrev(adj_list);
+    let dist = initializeDist(adj_list, source_id);
+    let weight_tbl = parseWeights(weights, adj_list);
+    let adj_tbl = parseAdjList(adj_list);
+
+    let compare = (a, b) => {
+        let dist_a = Hashtbl.find(dist, a);
+        let dist_b = Hashtbl.find(dist, b);
+        dist_a < dist_b;
+    };
+
+    let priorityQueue = Heap.create(compare);
+    let enqueue = (key, _) => {
+        Heap.add(priorityQueue, key, key);
+    };
+
+    Hashtbl.iter(enqueue, dist);
+    traverse(
+        ~queue=priorityQueue,
+        ~adj_tbl=adj_tbl,
+        ~weight_tbl=weight_tbl,
+        ~dist=dist, 
+        ~prev=prev);
+    
+    {dist: dist, prev: prev};
+};
\ No newline at end of file
diff --git a/src/graphs/Dijkstra.rei b/src/graphs/Dijkstra.rei
new file mode 100644
index 0000000..82c97f8
--- /dev/null
+++ b/src/graphs/Dijkstra.rei
@@ -0,0 +1,19 @@
+type node = {
+    id: string,
+    neighbours: list(string),
+};
+
+type edge = {
+    tail: string,
+    head: string,
+    weight: int,
+};
+
+type directedGraph = list(node);
+
+type resultType = {
+    dist: Hashtbl.t(string, int), 
+    prev: Hashtbl.t(string, option(string))
+};
+
+let search: (directedGraph, list(edge), string) => resultType;
\ No newline at end of file