diff --git a/src/lib.rs b/src/lib.rs
index 301cfc1..5de45c1 100644
--- a/src/lib.rs
+++ b/src/lib.rs
@@ -10,11 +10,14 @@ use datafusion::prelude::*;
 pub const VERTEX_ID: &str = "id";
 pub const EDGE_SRC: &str = "src";
 pub const EDGE_DST: &str = "dst";
+pub const EDGE_COL: &str = "edge";
+pub const SRC_VERTEX: &str = "src_vertex";
+pub const DST_VERTEX: &str = "dst_vertex";
 
 #[derive(Debug, Clone)]
 pub struct GraphFrame {
-    vertices: DataFrame,
-    edges: DataFrame,
+    pub vertices: DataFrame,
+    pub edges: DataFrame,
 }
 
 impl GraphFrame {
@@ -43,13 +46,107 @@ impl GraphFrame {
         )?;
         Ok(df.select(vec![col(EDGE_SRC).alias(VERTEX_ID), col("out_degree")])?)
     }
+
+    /// Generates a DataFrame containing "triplets" by combining information from edges and vertices.
+    ///
+    /// This method aggregates data about source vertices, edges, and destination vertices,
+    /// producing a combined representation of these relationships as triplets.
+    /// It constructs structured representations of edges and vertices, then performs
+    /// joins to associate source and destination vertices with their respective edges.
+    ///
+    /// # Returns
+    ///
+    /// Returns a `Result<DataFrame>` which can either:
+    /// - Contain the `DataFrame` representing the triplets (source vertex, edge, destination vertex).
+    /// - Return an error if an operation (e.g., selection or join) fails during the process.
+    ///
+    /// Output `DataFrame` contains the following columns:
+    /// - `SRC_VERTEX` - struct with all the columns of vertices, associated with a source of the triple
+    /// - `EDGE_COL` - struct with all the columns of edges, associated with an edge
+    /// - `DST_VERTEX` - struct with all the columns of vertices, associated with a destination of the triplet
+    ///
+    /// # Errors
+    ///
+    /// This method will return an error if:
+    /// - Either the source vertices or destination vertices cannot be joined with edges due to schema mismatches.
+    /// - Any selection or transformation process internally fails due to invalid queries.
+    ///
+    /// # Example
+    ///
+    /// ```
+    /// use datafusion::dataframe;
+    /// use graphframes_rs::{GraphFrame, VERTEX_ID, EDGE_SRC, EDGE_DST};
+    /// let vertices = dataframe!(
+    ///   VERTEX_ID => vec![1i64, 2i64, 3i64],
+    ///   "attr" => vec!["a", "b", "c"]
+    /// ).unwrap();
+    /// let edges = dataframe!(
+    ///   EDGE_SRC => vec![1i64, 2i64, 3i64],
+    ///   EDGE_DST => vec![3i64, 1i64, 2i64],
+    ///   "attr" => vec!["d", "j", "h"]
+    /// ).unwrap();
+    ///
+    /// let graph = GraphFrame { vertices, edges };
+    /// let triplets = graph.triplets();
+    /// ```
+    /// // Assuming `edges_df` and `vertices_df` are initialized DataFrames for
+    pub async fn triplets(&self) -> Result<DataFrame> {
+        let edges_struct = self.edges.clone().select(vec![
+            col(EDGE_SRC),
+            col(EDGE_DST),
+            named_struct(
+                self.edges
+                    .clone()
+                    .schema()
+                    .fields()
+                    .iter()
+                    .map(|field| field.name())
+                    .flat_map(|name| vec![lit(name), col(name)])
+                    .collect(),
+            )
+            .alias(EDGE_COL),
+        ])?;
+        let vertices_struct = self.vertices.clone().select(vec![
+            col(VERTEX_ID),
+            named_struct(
+                self.vertices
+                    .clone()
+                    .schema()
+                    .fields()
+                    .iter()
+                    .map(|field| field.name())
+                    .flat_map(|name| vec![lit(name), col(name)])
+                    .collect(),
+            )
+            .alias("_vertex_struct"),
+        ])?;
+        edges_struct
+            .join_on(
+                vertices_struct.clone().select(vec![
+                    col(VERTEX_ID),
+                    col("_vertex_struct").alias(SRC_VERTEX),
+                ])?,
+                JoinType::Left,
+                vec![col(EDGE_SRC).eq(col(VERTEX_ID))],
+            )?
+            .select(vec![col(SRC_VERTEX), col(EDGE_DST), col(EDGE_COL)])?
+            .join_on(
+                vertices_struct.select(vec![
+                    col(VERTEX_ID),
+                    col("_vertex_struct").alias(DST_VERTEX),
+                ])?,
+                JoinType::Left,
+                vec![col(EDGE_DST).eq(col(VERTEX_ID))],
+            )?
+            .select(vec![col(SRC_VERTEX), col(EDGE_COL), col(DST_VERTEX)])
+    }
 }
 
 #[cfg(test)]
 mod tests {
     use super::*;
     use datafusion::arrow::array::{Int64Array, RecordBatch, StringArray};
-    use datafusion::arrow::datatypes::{DataType, Field, Schema, SchemaRef};
+    use datafusion::arrow::datatypes::{DataType, Field, Fields, Schema, SchemaRef};
     use std::collections::HashMap;
     use std::sync::Arc;
 
@@ -183,4 +280,51 @@ mod tests {
 
         Ok(())
     }
+
+    #[tokio::test]
+    async fn test_triplets() -> Result<()> {
+        let vertices =
+            dataframe!(VERTEX_ID => vec![1i64, 2i64, 3i64], "attr" => vec!["a", "b", "c"])?;
+        let edges = dataframe!(EDGE_SRC => vec![1i64, 2i64, 3i64], EDGE_DST => vec![3i64, 1i64, 2i64], "attr" => vec!["d", "j", "h"])?;
+
+        let graph = GraphFrame { vertices, edges };
+        let triplets = graph.triplets().await?;
+
+        // Check schema
+        let schema = triplets.schema();
+        assert_eq!(schema.fields().len(), 3);
+        assert_eq!(schema.field(0).name(), SRC_VERTEX);
+        assert_eq!(schema.field(1).name(), EDGE_COL);
+        assert_eq!(schema.field(2).name(), DST_VERTEX);
+        assert!(
+            schema
+                .field(0)
+                .data_type()
+                .eq(&DataType::Struct(Fields::from(vec![
+                    Field::new(VERTEX_ID, DataType::Int64, true),
+                    Field::new("attr", DataType::Utf8, true)
+                ])))
+        );
+        assert!(
+            schema
+                .field(1)
+                .data_type()
+                .eq(&DataType::Struct(Fields::from(vec![
+                    Field::new(EDGE_SRC, DataType::Int64, true),
+                    Field::new(EDGE_DST, DataType::Int64, true),
+                    Field::new("attr", DataType::Utf8, true),
+                ])))
+        );
+        assert!(
+            schema
+                .field(2)
+                .data_type()
+                .eq(&DataType::Struct(Fields::from(vec![
+                    Field::new(VERTEX_ID, DataType::Int64, true),
+                    Field::new("attr", DataType::Utf8, true)
+                ])))
+        );
+
+        Ok(())
+    }
 }