diff --git a/backend/danswer/configs/constants.py b/backend/danswer/configs/constants.py
index 7afd3902d..8e6562e04 100644
--- a/backend/danswer/configs/constants.py
+++ b/backend/danswer/configs/constants.py
@@ -9,6 +9,7 @@ SOURCE_LINKS = "source_links"
 SOURCE_LINK = "link"
 SEMANTIC_IDENTIFIER = "semantic_identifier"
 TITLE = "title"
+SKIP_TITLE_EMBEDDING = "skip_title"
 SECTION_CONTINUATION = "section_continuation"
 EMBEDDINGS = "embeddings"
 TITLE_EMBEDDING = "title_embedding"
diff --git a/backend/danswer/document_index/vespa/app_config/schemas/danswer_chunk.sd b/backend/danswer/document_index/vespa/app_config/schemas/danswer_chunk.sd
index 48c52ec94..3b6a2ec43 100644
--- a/backend/danswer/document_index/vespa/app_config/schemas/danswer_chunk.sd
+++ b/backend/danswer/document_index/vespa/app_config/schemas/danswer_chunk.sd
@@ -11,6 +11,11 @@ schema danswer_chunk {
         field semantic_identifier type string {
             indexing: summary | attribute
         }
+        # Must have an additional field for whether to skip title embeddings
+        # This information cannot be extracted from either the title field nor title embedding
+        field skip_title type bool {
+            indexing: attribute
+        }
         # May not always match the `semantic_identifier` e.g. for Slack docs the
         # `semantic_identifier` will be the channel name, but the `title` will be empty
         field title type string {
@@ -149,7 +154,7 @@ schema danswer_chunk {
         function vector_score() {
             expression {
                 # If no title, the full vector score comes from the content embedding
-                (query(title_content_ratio) * if(isNan(attribute(title)) == 1, closeness(field, embeddings), closeness(field, title_embedding))) +
+                (query(title_content_ratio) * if(attribute(skip_title), closeness(field, embeddings), closeness(field, title_embedding))) +
                 ((1 - query(title_content_ratio)) * closeness(field, embeddings))
             }
         }
diff --git a/backend/danswer/document_index/vespa/index.py b/backend/danswer/document_index/vespa/index.py
index 3ab3d7426..0679231e6 100644
--- a/backend/danswer/document_index/vespa/index.py
+++ b/backend/danswer/document_index/vespa/index.py
@@ -48,6 +48,7 @@ from danswer.configs.constants import RECENCY_BIAS
 from danswer.configs.constants import SECONDARY_OWNERS
 from danswer.configs.constants import SECTION_CONTINUATION
 from danswer.configs.constants import SEMANTIC_IDENTIFIER
+from danswer.configs.constants import SKIP_TITLE_EMBEDDING
 from danswer.configs.constants import SOURCE_LINKS
 from danswer.configs.constants import SOURCE_TYPE
 from danswer.configs.constants import TITLE
@@ -256,6 +257,7 @@ def _index_vespa_chunk(
         CHUNK_ID: chunk.chunk_id,
         BLURB: remove_invalid_unicode_chars(chunk.blurb),
         TITLE: remove_invalid_unicode_chars(title) if title else None,
+        SKIP_TITLE_EMBEDDING: not title,
         CONTENT: remove_invalid_unicode_chars(chunk.content),
         # This duplication of `content` is needed for keyword highlighting :(
         CONTENT_SUMMARY: remove_invalid_unicode_chars(chunk.content),
@@ -560,6 +562,7 @@ def _query_vespa(query_params: Mapping[str, str | int | float]) -> list[Inferenc
     filtered_hits = [hit for hit in hits if hit["fields"].get(CONTENT) is not None]
 
     inference_chunks = [_vespa_hit_to_inference_chunk(hit) for hit in filtered_hits]
+    # Good Debugging Spot
     return inference_chunks