diff --git a/Cargo.toml b/Cargo.toml
index 8d1c5668c..eb8cbf29d 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -18,6 +18,7 @@ lazy_static = "0.2.1"
 tinysegmenter = "0.1.0"
 regex = "0.2"
 fst = {version="0.3", default-features=false}
+fst-regex = { version="0.2" }
 lz4 = {version="1.20", optional=true}
 snap = {version="0.2"}
 atomicwrites = {version="0.2.2", optional=true}
diff --git a/src/lib.rs b/src/lib.rs
index 599a5df6c..93d8626f8 100644
--- a/src/lib.rs
+++ b/src/lib.rs
@@ -136,6 +136,7 @@ extern crate combine;
 extern crate crossbeam;
 extern crate fnv;
 extern crate fst;
+extern crate fst_regex;
 extern crate futures;
 extern crate futures_cpupool;
 extern crate itertools;
diff --git a/src/query/automaton_weight.rs b/src/query/automaton_weight.rs
new file mode 100644
index 000000000..c5da69180
--- /dev/null
+++ b/src/query/automaton_weight.rs
@@ -0,0 +1,57 @@
+use common::BitSet;
+use core::SegmentReader;
+use fst::Automaton;
+use query::BitSetDocSet;
+use query::ConstScorer;
+use query::{Scorer, Weight};
+use schema::{Field, IndexRecordOption};
+use termdict::{TermDictionary, TermStreamer};
+use Result;
+
+pub struct AutomatonWeight<A>
+where
+  A: Automaton,
+{
+  field: Field,
+  automaton: A,
+}
+
+impl<A> AutomatonWeight<A>
+where
+  A: Automaton,
+{
+  pub fn new(field: Field, automaton: A) -> AutomatonWeight<A> {
+    AutomatonWeight { field, automaton }
+  }
+
+  fn automaton_stream<'a>(&'a self, term_dict: &'a TermDictionary) -> TermStreamer<'a, &'a A> {
+    let term_stream_builder = term_dict.search(&self.automaton);
+    term_stream_builder.into_stream()
+  }
+}
+
+impl<A> Weight for AutomatonWeight<A>
+where
+  A: Automaton,
+{
+  fn scorer(&self, reader: &SegmentReader) -> Result<Box<Scorer>> {
+    let max_doc = reader.max_doc();
+    let mut doc_bitset = BitSet::with_max_value(max_doc);
+
+    let inverted_index = reader.inverted_index(self.field);
+    let term_dict = inverted_index.terms();
+    let mut term_stream = self.automaton_stream(term_dict);
+    while term_stream.advance() {
+      let term_info = term_stream.value();
+      let mut block_segment_postings =
+        inverted_index.read_block_postings_from_terminfo(term_info, IndexRecordOption::Basic);
+      while block_segment_postings.advance() {
+        for &doc in block_segment_postings.docs() {
+          doc_bitset.insert(doc);
+        }
+      }
+    }
+    let doc_bitset = BitSetDocSet::from(doc_bitset);
+    Ok(Box::new(ConstScorer::new(doc_bitset)))
+  }
+}
diff --git a/src/query/fuzzy_query.rs b/src/query/fuzzy_query.rs
index 9354c8f68..aa6de9139 100644
--- a/src/query/fuzzy_query.rs
+++ b/src/query/fuzzy_query.rs
@@ -1,13 +1,7 @@
-use common::BitSet;
-use core::SegmentReader;
-use fst::Automaton;
 use levenshtein_automata::{LevenshteinAutomatonBuilder, DFA};
-use query::BitSetDocSet;
-use query::ConstScorer;
-use query::{Query, Scorer, Weight};
-use schema::{Field, IndexRecordOption, Term};
+use query::{AutomatonWeight, Query, Weight};
+use schema::Term;
 use std::collections::HashMap;
-use termdict::{TermDictionary, TermStreamer};
 use Result;
 use Searcher;
 
@@ -51,6 +45,7 @@ impl FuzzyTermQuery {
         }
     }
 
+    /// Creates a new Fuzzy Query that treats transpositions as cost one rather than two
     pub fn new_prefix(term: Term, distance: u8, transposition_cost_one: bool) -> FuzzyTermQuery {
         FuzzyTermQuery {
             term,
@@ -60,15 +55,11 @@ impl FuzzyTermQuery {
         }
     }
 
-    pub fn specialized_weight(&self) -> Result<AutomatonWeight<DFA>> {
+    fn specialized_weight(&self) -> Result<AutomatonWeight<DFA>> {
         let automaton = LEV_BUILDER.get(&(self.distance, false))
             .unwrap() // TODO return an error
             .build_dfa(self.term.text());
-        Ok(AutomatonWeight {
-            term: self.term.clone(),
-            field: self.term.field(),
-            automaton,
-        })
+        Ok(AutomatonWeight::new(self.term.field(), automaton))
     }
 }
 
@@ -78,51 +69,6 @@ impl Query for FuzzyTermQuery {
     }
 }
 
-pub struct AutomatonWeight<A>
-where
-    A: Automaton,
-{
-    term: Term,
-    field: Field,
-    automaton: A,
-}
-
-impl<A> AutomatonWeight<A>
-where
-    A: Automaton,
-{
-    fn automaton_stream<'a>(&'a self, term_dict: &'a TermDictionary) -> TermStreamer<'a, &'a A> {
-        let term_stream_builder = term_dict.search(&self.automaton);
-        term_stream_builder.into_stream()
-    }
-}
-
-impl<A> Weight for AutomatonWeight<A>
-where
-    A: Automaton,
-{
-    fn scorer(&self, reader: &SegmentReader) -> Result<Box<Scorer>> {
-        let max_doc = reader.max_doc();
-        let mut doc_bitset = BitSet::with_max_value(max_doc);
-
-        let inverted_index = reader.inverted_index(self.field);
-        let term_dict = inverted_index.terms();
-        let mut term_stream = self.automaton_stream(term_dict);
-        while term_stream.advance() {
-            let term_info = term_stream.value();
-            let mut block_segment_postings = inverted_index
-                .read_block_postings_from_terminfo(term_info, IndexRecordOption::Basic);
-            while block_segment_postings.advance() {
-                for &doc in block_segment_postings.docs() {
-                    doc_bitset.insert(doc);
-                }
-            }
-        }
-        let doc_bitset = BitSetDocSet::from(doc_bitset);
-        Ok(Box::new(ConstScorer::new(doc_bitset)))
-    }
-}
-
 #[cfg(test)]
 mod test {
     use super::FuzzyTermQuery;
@@ -134,7 +80,7 @@ mod test {
     use Term;
 
     #[test]
-    pub fn test_automaton_weight() {
+    pub fn test_fuzzy_term() {
         let mut schema_builder = SchemaBuilder::new();
         let country_field = schema_builder.add_text_field("country", TEXT);
         let schema = schema_builder.build();
diff --git a/src/query/mod.rs b/src/query/mod.rs
index 49fb8d296..9838807ac 100644
--- a/src/query/mod.rs
+++ b/src/query/mod.rs
@@ -3,6 +3,7 @@ Query
 */
 
 mod all_query;
+mod automaton_weight;
 mod bitset;
 mod bm25;
 mod boolean_query;
@@ -14,6 +15,7 @@ mod phrase_query;
 mod query;
 mod query_parser;
 mod range_query;
+mod regex_query;
 mod reqopt_scorer;
 mod scorer;
 mod term_query;
@@ -32,6 +34,7 @@ pub use self::union::Union;
 pub use self::vec_docset::VecDocSet;
 
 pub use self::all_query::{AllQuery, AllScorer, AllWeight};
+pub use self::automaton_weight::AutomatonWeight;
 pub use self::bitset::BitSetDocSet;
 pub use self::boolean_query::BooleanQuery;
 pub use self::exclude::Exclude;
diff --git a/src/query/regex_query.rs b/src/query/regex_query.rs
new file mode 100644
index 000000000..6f7209eb3
--- /dev/null
+++ b/src/query/regex_query.rs
@@ -0,0 +1,89 @@
+use error::ErrorKind;
+use fst_regex::Regex;
+use query::{AutomatonWeight, Query, Weight};
+use schema::Field;
+use std::clone::Clone;
+use Result;
+use Searcher;
+
+// A Regex Query matches all of the documents
+/// containing a specific term that matches
+/// a regex pattern
+#[derive(Debug, Clone)]
+pub struct RegexQuery {
+  regex_pattern: String,
+  field: Field,
+}
+
+impl RegexQuery {
+  /// Creates a new Fuzzy Query
+  pub fn new(regex_pattern: String, field: Field) -> RegexQuery {
+    RegexQuery {
+      regex_pattern,
+      field,
+    }
+  }
+
+  fn specialized_weight(&self) -> Result<AutomatonWeight<Regex>> {
+    let automaton = Regex::new(&self.regex_pattern)
+      .map_err(|_| ErrorKind::InvalidArgument(self.regex_pattern.clone()))?;
+
+    Ok(AutomatonWeight::new(self.field.clone(), automaton))
+  }
+}
+
+impl Query for RegexQuery {
+  fn weight(&self, _searcher: &Searcher, _scoring_enabled: bool) -> Result<Box<Weight>> {
+    Ok(Box::new(self.specialized_weight()?))
+  }
+}
+
+#[cfg(test)]
+mod test {
+  use super::RegexQuery;
+  use collector::TopCollector;
+  use schema::SchemaBuilder;
+  use schema::TEXT;
+  use tests::assert_nearly_equals;
+  use Index;
+
+  #[test]
+  pub fn test_regex_query() {
+    let mut schema_builder = SchemaBuilder::new();
+    let country_field = schema_builder.add_text_field("country", TEXT);
+    let schema = schema_builder.build();
+    let index = Index::create_in_ram(schema);
+    {
+      let mut index_writer = index.writer_with_num_threads(1, 10_000_000).unwrap();
+      index_writer.add_document(doc!(
+                country_field => "japan",
+            ));
+      index_writer.add_document(doc!(
+                country_field => "korea",
+            ));
+      index_writer.commit().unwrap();
+    }
+    index.load_searchers().unwrap();
+    let searcher = index.searcher();
+    {
+      let mut collector = TopCollector::with_limit(2);
+
+      let regex_query = RegexQuery::new("jap[ao]n".to_string(), country_field);
+      searcher.search(&regex_query, &mut collector).unwrap();
+      let scored_docs = collector.score_docs();
+      assert_eq!(scored_docs.len(), 1, "Expected only 1 document");
+      let (score, _) = scored_docs[0];
+      assert_nearly_equals(1f32, score);
+    }
+
+    let searcher = index.searcher();
+    {
+      let mut collector = TopCollector::with_limit(2);
+
+      let regex_query = RegexQuery::new("jap[A-Z]n".to_string(), country_field);
+      searcher.search(&regex_query, &mut collector).unwrap();
+      let scored_docs = collector.score_docs();
+      assert_eq!(scored_docs.len(), 0, "Expected ZERO document");
+    }
+  }
+}