diff --git a/crates/milli/src/search/hybrid.rs b/crates/milli/src/search/hybrid.rs
index e07f886c9..b63f6288f 100644
--- a/crates/milli/src/search/hybrid.rs
+++ b/crates/milli/src/search/hybrid.rs
@@ -1,11 +1,13 @@
 use std::cmp::Ordering;
 
+use heed::RoTxn;
 use itertools::Itertools;
 use roaring::RoaringBitmap;
 
 use crate::score_details::{ScoreDetails, ScoreValue, ScoringStrategy};
+use crate::search::new::{distinct_fid, distinct_single_docid};
 use crate::search::SemanticSearch;
-use crate::{MatchingWords, Result, Search, SearchResult};
+use crate::{Index, MatchingWords, Result, Search, SearchResult};
 
 struct ScoreWithRatioResult {
     matching_words: MatchingWords,
@@ -91,7 +93,10 @@ impl ScoreWithRatioResult {
         keyword_results: Self,
         from: usize,
         length: usize,
-    ) -> (SearchResult, u32) {
+        distinct: Option<&str>,
+        index: &Index,
+        rtxn: &RoTxn<'_>,
+    ) -> Result<(SearchResult, u32)> {
         #[derive(Clone, Copy)]
         enum ResultSource {
             Semantic,
@@ -106,8 +111,9 @@ impl ScoreWithRatioResult {
             vector_results.document_scores.len() + keyword_results.document_scores.len(),
         );
 
-        let mut documents_seen = RoaringBitmap::new();
-        for ((docid, (main_score, _sub_score)), source) in vector_results
+        let distinct_fid = distinct_fid(distinct, index, rtxn)?;
+        let mut excluded_documents = RoaringBitmap::new();
+        for res in vector_results
             .document_scores
             .into_iter()
             .zip(std::iter::repeat(ResultSource::Semantic))
@@ -121,13 +127,33 @@ impl ScoreWithRatioResult {
                     compare_scores(left, right).is_ge()
                 },
             )
-            // remove documents we already saw
-            .filter(|((docid, _), _)| documents_seen.insert(*docid))
+            // remove documents we already saw and apply distinct rule
+            .filter_map(|item @ ((docid, _), _)| {
+                if !excluded_documents.insert(docid) {
+                    // the document was already added, or is indistinct from an already-added document.
+                    return None;
+                }
+
+                if let Some(distinct_fid) = distinct_fid {
+                    if let Err(error) = distinct_single_docid(
+                        index,
+                        rtxn,
+                        distinct_fid,
+                        docid,
+                        &mut excluded_documents,
+                    ) {
+                        return Some(Err(error));
+                    }
+                }
+
+                Some(Ok(item))
+            })
             // start skipping **after** the filter
             .skip(from)
             // take **after** skipping
             .take(length)
         {
+            let ((docid, (main_score, _sub_score)), source) = res?;
             if let ResultSource::Semantic = source {
                 semantic_hit_count += 1;
             }
@@ -136,10 +162,24 @@ impl ScoreWithRatioResult {
             document_scores.push(main_score);
         }
 
-        (
+        // compute the set of candidates from both sets
+        let candidates = vector_results.candidates | keyword_results.candidates;
+        let must_remove_redundant_candidates = distinct_fid.is_some();
+        let candidates = if must_remove_redundant_candidates {
+            // patch-up the candidates to remove the indistinct documents, then add back the actual hits
+            let mut candidates = candidates - excluded_documents;
+            for docid in &documents_ids {
+                candidates.insert(*docid);
+            }
+            candidates
+        } else {
+            candidates
+        };
+
+        Ok((
             SearchResult {
                 matching_words: keyword_results.matching_words,
-                candidates: vector_results.candidates | keyword_results.candidates,
+                candidates,
                 documents_ids,
                 document_scores,
                 degraded: vector_results.degraded | keyword_results.degraded,
@@ -147,7 +187,7 @@ impl ScoreWithRatioResult {
                     | keyword_results.used_negative_operator,
             },
             semantic_hit_count,
-        )
+        ))
     }
 }
 
@@ -226,8 +266,15 @@ impl Search<'_> {
         let keyword_results = ScoreWithRatioResult::new(keyword_results, 1.0 - semantic_ratio);
         let vector_results = ScoreWithRatioResult::new(vector_results, semantic_ratio);
 
-        let (merge_results, semantic_hit_count) =
-            ScoreWithRatioResult::merge(vector_results, keyword_results, self.offset, self.limit);
+        let (merge_results, semantic_hit_count) = ScoreWithRatioResult::merge(
+            vector_results,
+            keyword_results,
+            self.offset,
+            self.limit,
+            search.distinct.as_deref(),
+            search.index,
+            search.rtxn,
+        )?;
         assert!(merge_results.documents_ids.len() <= self.limit);
         Ok((merge_results, Some(semantic_hit_count)))
     }