diff --git a/crates/omnigraph/src/table_store.rs b/crates/omnigraph/src/table_store.rs
index 10123b0..19f1ddf 100644
--- a/crates/omnigraph/src/table_store.rs
+++ b/crates/omnigraph/src/table_store.rs
@@ -582,6 +582,52 @@ impl TableStore {
             .map_err(|e| OmniError::Lance(e.to_string()))
     }
 
+    /// Indexed neighbor lookup for graph traversal. Given an edge dataset and a
+    /// set of endpoint keys on `key_col` (`"src"` for out-traversal, `"dst"` for
+    /// in-traversal), return the matching edge rows projected to
+    /// `[key_col, opposite_col]`.
+    ///
+    /// The `key_col IN (keys)` predicate is built as a structured DataFusion
+    /// `Expr` and applied via `Scanner::filter_expr`, so Lance routes it through
+    /// the persisted BTREE on `key_col` (index-search → take). Cost scales with
+    /// the frontier size, not |E| — the basis for serving selective traversals
+    /// without building the whole in-memory CSR. Empty `keys` returns empty
+    /// without scanning.
+    ///
+    /// Note: like any indexed scan, this observes only fragments the BTREE
+    /// covers plus an unindexed-fragment scan fallback; it reads the committed
+    /// snapshot `ds` was opened at.
+    pub async fn scan_edges_by_endpoint(
+        ds: &Dataset,
+        key_col: &str,
+        opposite_col: &str,
+        keys: &[String],
+    ) -> Result<Vec<RecordBatch>> {
+        use datafusion::prelude::{col, lit};
+
+        if keys.is_empty() {
+            return Ok(Vec::new());
+        }
+        let key_list: Vec<datafusion::prelude::Expr> =
+            keys.iter().map(|k| lit(k.clone())).collect();
+        let filter_expr = col(key_col).in_list(key_list, false);
+        Self::scan_stream_with(
+            ds,
+            Some(&[key_col, opposite_col]),
+            None,
+            None,
+            false,
+            |scanner| {
+                scanner.filter_expr(filter_expr);
+                Ok(())
+            },
+        )
+        .await?
+        .try_collect()
+        .await
+        .map_err(|e| OmniError::Lance(e.to_string()))
+    }
+
     pub async fn count_rows(&self, ds: &Dataset, filter: Option<String>) -> Result<usize> {
         ds.count_rows(filter)
             .await