diff --git a/hana/lib/cql-functions.js b/hana/lib/cql-functions.js
index d44013f61..7d1b905c1 100644
--- a/hana/lib/cql-functions.js
+++ b/hana/lib/cql-functions.js
@@ -122,7 +122,8 @@ const StandardFunctions = {
     // if column specific value is provided, the configuration has to be defined on column level
     if (csnElements.some(e => e.element?.['@Search.ranking'] || e.element?.['@Search.fuzzinessThreshold'])) {
       csnElements.forEach(e => {
-        let fuzzy = `FUZZY`
+        const fuzziScore = e.element?.['@Search.fuzzinessThreshold'] || fuzzyIndex
+        let fuzzy = `${ fuzziScore === 1 ? 'EXACT' : 'FUZZY'}`
         // weighted search
         const rank = e.element?.['@Search.ranking']?.['=']
         switch (rank) {
@@ -141,14 +142,20 @@ const StandardFunctions = {
               `Invalid configuration ${rank} for @Search.ranking. HIGH, MEDIUM, LOW are supported values.`,
             )
         }
-        fuzzy += ` MINIMAL TOKEN SCORE ${e.element?.['@Search.fuzzinessThreshold'] || fuzzyIndex} SIMILARITY CALCULATION MODE 'search'`
+        if (fuzziScore === 1)
+          fuzzy += ` MINIMAL SCORE 1 search mode 'text'`
+        else
+          fuzzy += ` MINIMAL TOKEN SCORE ${fuzziScore} SIMILARITY CALCULATION MODE 'search'`
         // rewrite ref to xpr to mix in search config
         // ensure in place modification to reuse .toString method that ensures quoting
         e.xpr = [{ ref: e.ref }, fuzzy]
         delete e.ref
       })
     } else {
-      ref = `${ref} FUZZY MINIMAL TOKEN SCORE ${fuzzyIndex} SIMILARITY CALCULATION MODE 'search'`
+      if (fuzzyIndex === 1) 
+        ref = `${ref} EXACT MINIMAL SCORE 1 search mode 'text'`
+      else
+        ref = `${ref} FUZZY MINIMAL TOKEN SCORE ${fuzzyIndex} SIMILARITY CALCULATION MODE 'search'`
     }
 
     if (Array.isArray(arg.xpr)) {
diff --git a/hana/test/fuzzy.cds b/hana/test/fuzzy.cds
index 56e22edda..0991f4f9d 100644
--- a/hana/test/fuzzy.cds
+++ b/hana/test/fuzzy.cds
@@ -1,5 +1,10 @@
-using {sap.capire.bookshop.BooksAnnotated as BooksAnnotated} from '../../test/bookshop/db/schema.cds';
+using {sap.capire.bookshop.BooksAnnotated as BooksAnnotated, sap.capire.bookshop.Books as Books} from '../../test/bookshop/db/schema.cds';
 
 annotate BooksAnnotated with @cds.search: {title, descr, currency.code};
 annotate BooksAnnotated:title with @(Search.ranking: HIGH, Search.fuzzinessThreshold: 0.9);
-annotate BooksAnnotated:descr with @(Search.ranking: LOW, Search.fuzzinessThreshold: 0.9);
\ No newline at end of file
+annotate BooksAnnotated:descr with @(Search.ranking: LOW, Search.fuzzinessThreshold: 0.9);
+
+entity BooksAnnotatedScore1 as projection on Books;
+annotate BooksAnnotatedScore1 with @cds.search: {title, descr, currency.code};
+annotate BooksAnnotatedScore1:title with @(Search.ranking: HIGH, Search.fuzzinessThreshold: 0.9);
+annotate BooksAnnotatedScore1:descr with @(Search.ranking: LOW, Search.fuzzinessThreshold: 1);
\ No newline at end of file
diff --git a/hana/test/fuzzy.test.js b/hana/test/fuzzy.test.js
index b7f80aa42..0cbbef9b5 100644
--- a/hana/test/fuzzy.test.js
+++ b/hana/test/fuzzy.test.js
@@ -28,14 +28,24 @@ describe('search', () => {
       expect(res.length).to.be(2) // Eleonora and Jane Eyre
     })
     
-    test('global config', async () => {
+    test('global config partial string', async () => {
       cds.env.hana.fuzzy = 1
       const { Books } = cds.entities('sap.capire.bookshop')
       const cqn = SELECT.from(Books).search('"autobio"').columns('1')
       const {sql} = cqn.toSQL()
-      expect(sql).to.include('FUZZY MINIMAL TOKEN SCORE 1')
+      expect(sql).to.include('EXACT MINIMAL SCORE 1')
       const res = await cqn
-      expect(res.length).to.be(2) // Eleonora and Jane Eyre
+      expect(res.length).to.be(0) // must be exact match
+    })
+
+    test('global config whole string', async () => {
+      cds.env.hana.fuzzy = 1
+      const { Books } = cds.entities('sap.capire.bookshop')
+      const cqn = SELECT.from(Books).search('"Jane"').columns('1')
+      const {sql} = cqn.toSQL()
+      expect(sql).to.include('EXACT MINIMAL SCORE 1')
+      const res = await cqn
+      expect(res.length).to.be(2) // Wuthering Heights and and Jane Eyre
     })
 
     test('annotations', async () => {
@@ -49,6 +59,18 @@ describe('search', () => {
       const res = await cqn
       expect(res.length).to.be(1) // jane eyre
     })
+
+    test('annotations with descr score 1', async () => {
+      const { BooksAnnotatedScore1 } = cds.entities
+      const cqn = SELECT.from(BooksAnnotatedScore1).search('is often').columns('1')
+      const {sql} = cqn.toSQL()
+      expect(sql).to.include('title FUZZY WEIGHT 0.8 MINIMAL TOKEN SCORE 0.9')
+      expect(sql).to.include('code FUZZY WEIGHT 0.5 MINIMAL TOKEN SCORE 0.7')
+      expect(sql).to.include('descr EXACT WEIGHT 0.3 MINIMAL SCORE 1')
+      
+      const res = await cqn
+      expect(res.length).to.be(2) // Eleonora and Raven
+    })
   })
 
   describe('like', () => {