added additional sources

src/crewai/knowledge/source/excel_knowledge_source.py

@@ -0,0 +1,48 @@
+from typing import List
+
+from crewai.knowledge.embedder.base_embedder import BaseEmbedder
+from crewai.knowledge.source.base_file_knowledge_source import BaseFileKnowledgeSource
+
+
+class ExcelKnowledgeSource(BaseFileKnowledgeSource):
+    """A knowledge source that stores and queries Excel file content using embeddings."""
+
+    def load_content(self) -> str:
+        """Load and preprocess Excel file content."""
+        super().load_content()  # Validate the file path
+        pd = self._import_dependencies()
+        df = pd.read_excel(self.file_path)
+        content = df.to_csv(index=False)
+        return content
+
+    def _import_dependencies(self):
+        """Dynamically import dependencies."""
+        try:
+            import openpyxl
+            import pandas as pd
+
+            return pd
+        except ImportError as e:
+            missing_package = str(e).split()[-1]
+            raise ImportError(
+                f"{missing_package} is not installed. Please install it with: pip install {missing_package}"
+            )
+
+    def add(self, embedder: BaseEmbedder) -> None:
+        """
+        Add Excel file content to the knowledge source, chunk it, compute embeddings,
+        and save the embeddings.
+        """
+        new_chunks = self._chunk_text(self.content)
+        self.chunks.extend(new_chunks)
+        # Compute embeddings for the new chunks
+        new_embeddings = embedder.embed_chunks(new_chunks)
+        # Save the embeddings
+        self.chunk_embeddings.extend(new_embeddings)
+
+    def _chunk_text(self, text: str) -> List[str]:
+        """Utility method to split text into chunks."""
+        return [
+            text[i : i + self.chunk_size]
+            for i in range(0, len(text), self.chunk_size - self.chunk_overlap)
+        ]