diff --git a/poetry.lock b/poetry.lock
index 9bfd357d..4e338697 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1282,13 +1282,13 @@ files = [
 
 [[package]]
 name = "duckduckgo-search"
-version = "6.1.4"
+version = "6.1.5"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "duckduckgo_search-6.1.4-py3-none-any.whl", hash = "sha256:2248def55da5982a5d055a22972e880646de6b6e5f77d1e4fdb971aed151bd05"},
-    {file = "duckduckgo_search-6.1.4.tar.gz", hash = "sha256:4b7baf2aebf05302bbb6791df05a968c4c5a3835e5f3f422b5048fed230d2699"},
+    {file = "duckduckgo_search-6.1.5-py3-none-any.whl", hash = "sha256:f0a18fe5f20323ba6bb11865ce32d4520bb90086a6ae62f5da510865f5a7dca8"},
+    {file = "duckduckgo_search-6.1.5.tar.gz", hash = "sha256:10e5c4d09a4243fd9d85007dc4fe637456c3c3995fd2e1e9b49ffd6f75bb0afb"},
 ]
 
 [package.dependencies]
@@ -1828,17 +1828,17 @@ tool = ["click (>=6.0.0)"]
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.63.0"
+version = "1.63.1"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "googleapis-common-protos-1.63.0.tar.gz", hash = "sha256:17ad01b11d5f1d0171c06d3ba5c04c54474e883b66b949722b4938ee2694ef4e"},
-    {file = "googleapis_common_protos-1.63.0-py2.py3-none-any.whl", hash = "sha256:ae45f75702f7c08b541f750854a678bd8f534a1a6bace6afe975f1d0a82d6632"},
+    {file = "googleapis-common-protos-1.63.1.tar.gz", hash = "sha256:c6442f7a0a6b2a80369457d79e6672bb7dcbaab88e0848302497e3ec80780a6a"},
+    {file = "googleapis_common_protos-1.63.1-py2.py3-none-any.whl", hash = "sha256:0e1c2cdfcbc354b76e4a211a35ea35d6926a835cba1377073c4861db904a1877"},
 ]
 
 [package.dependencies]
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
 
 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
@@ -3963,13 +3963,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.30.5"
+version = "1.31.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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-    {file = "openai-1.30.5.tar.gz", hash = "sha256:5366562eb2c5917e6116ae0391b7ae6e3acd62b0ae3f565ada32b35d8fcfa106"},
+    {file = "openai-1.31.0-py3-none-any.whl", hash = "sha256:82044ee3122113f2a468a1f308a8882324d09556ba5348687c535d3655ee331c"},
+    {file = "openai-1.31.0.tar.gz", hash = "sha256:54ae0625b005d6a3b895db2b8438dae1059cffff0cd262a26e9015c13a29ab06"},
 ]
 
 [package.dependencies]
@@ -3986,48 +3986,48 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "opencv-python"
-version = "4.9.0.80"
+version = "4.10.0.82"
 description = "Wrapper package for OpenCV python bindings."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
 numpy = [
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     {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
     {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
 ]
 
 [[package]]
 name = "opencv-python-headless"
-version = "4.9.0.80"
+version = "4.10.0.82"
 description = "Wrapper package for OpenCV python bindings."
 optional = false
 python-versions = ">=3.6"
 files = [
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+    {file = "opencv_python_headless-4.10.0.82-cp37-abi3-win32.whl", hash = "sha256:94736e9b322d13db4768fd35588ad5e8995e78e207263076bfbee18aac835ad5"},
+    {file = "opencv_python_headless-4.10.0.82-cp37-abi3-win_amd64.whl", hash = "sha256:c1822fa23d1641c0249ed5eb906f4c385f7959ff1bd601a776d56b0c18914af4"},
 ]
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
     {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
     {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
 ]
 
 [[package]]
@@ -4394,8 +4394,8 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
     {version = ">=1.22.4", markers = "python_version < \"3.11\""},
+    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -4956,18 +4956,18 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "2.7.2"
+version = "2.7.3"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 annotated-types = ">=0.4.0"
-pydantic-core = "2.18.3"
+pydantic-core = "2.18.4"
 typing-extensions = ">=4.6.1"
 
 [package.extras]
@@ -4975,90 +4975,90 @@ email = ["email-validator (>=2.0.0)"]
 
 [[package]]
 name = "pydantic-core"
-version = "2.18.3"
+version = "2.18.4"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "pydantic_core-2.18.4.tar.gz", hash = "sha256:ec3beeada09ff865c344ff3bc2f427f5e6c26401cc6113d77e372c3fdac73864"},
 ]
 
 [package.dependencies]
@@ -7601,6 +7601,22 @@ files = [
     {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
 ]
 
+[[package]]
+name = "xlrd"
+version = "2.0.1"
+description = "Library for developers to extract data from Microsoft Excel (tm) .xls spreadsheet files"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+files = [
+    {file = "xlrd-2.0.1-py2.py3-none-any.whl", hash = "sha256:6a33ee89877bd9abc1158129f6e94be74e2679636b8a205b43b85206c3f0bbdd"},
+    {file = "xlrd-2.0.1.tar.gz", hash = "sha256:f72f148f54442c6b056bf931dbc34f986fd0c3b0b6b5a58d013c9aef274d0c88"},
+]
+
+[package.extras]
+build = ["twine", "wheel"]
+docs = ["sphinx"]
+test = ["pytest", "pytest-cov"]
+
 [[package]]
 name = "xxhash"
 version = "3.4.1"
@@ -7839,4 +7855,4 @@ test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-it
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10.0,<3.12"
-content-hash = "5c891b42861023d77d87bf4027b2b3e53fe7eaad67d81c893f7f5be7e45a8e69"
+content-hash = "efc14eedd786e12d84883e0b2dd2319a4b538a1a88891d995cd4c3fde14da2c3"
diff --git a/pyproject.toml b/pyproject.toml
index 5398cebc..aa7ce73b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -69,6 +69,7 @@ openinference-instrumentation = "^0.1.7"
 llama-index-llms-huggingface = "^0.2.0"
 pytest-asyncio = "^0.23.7"
 pytest-cov = "^5.0.0"
+xlrd = "^2.0.1"
 
 [tool.poetry.scripts]
 pai_rag = "pai_rag.main:main"
diff --git a/src/pai_rag/docs/tabular_doc.md b/src/pai_rag/docs/tabular_doc.md
new file mode 100644
index 00000000..8791cf64
--- /dev/null
+++ b/src/pai_rag/docs/tabular_doc.md
@@ -0,0 +1,76 @@
+# Tabular processing with PAI-RAG
+
+## PaiCSVReader
+
+PaiCSVReader(concat_rows=True, row_joiner="\n", csv_config={})
+
+### Parameters:
+
+**concat_rows:** _bool, default=True._
+Whether to concatenate rows into one document.
+
+**row_joiner:** _str, default="\n"._
+The separator used to join rows.
+
+**header:** _None or int, list of int, default 0._
+row (0-indexed) to use for the column labels of the parsed DataFrame. If a list of integers is passed those row
+positions will be combined into a MultiIndex. Use None if there is no header.
+
+### Functions:
+
+load_data(file: Path, extra_info: Optional[Dict] = None, fs: Optional[AbstractFileSystem] = None)
+
+## PaiPandasCSVReader
+
+PaiPandasCSVReader(concat_rows=True, row_joiner="\n", pandas_config={})
+
+### Parameters:
+
+**concat_rows:** _bool, default=True._
+Whether to concatenate rows into one document.
+
+**row_joiner:** _str, default="\n"._
+The separator used to join rows.
+
+**pandas_config:** _dict, default={}._
+The configuration of pandas.read_csv.
+Refer to https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html for more information.
+Set to empty dict by default, this means pandas will try to figure out the separators, table head, etc. on its own.
+
+#### one important parameter:
+
+**header:** _None or int, list of int, default 0._
+Row (0-indexed) to use for the column labels of the parsed DataFrame. If a list of integers is passed those row
+positions will be combined into a MultiIndex. Use None if there is no header.
+
+### Functions:
+
+load_data(file: Path, extra_info: Optional[Dict] = None, fs: Optional[AbstractFileSystem] = None)
+
+## PaiPandasExcelReader
+
+PaiPandasExcelReader(concat_rows=True, row_joiner="\n", pandas_config={})
+
+### Parameters:
+
+**concat_rows:** _bool, default=True._
+Whether to concatenate rows into one document.
+
+**row_joiner:** _str, default="\n"._
+The separator used to join rows.
+
+**pandas_config:** _dict, default={}._
+The configuration of pandas.read_csv.
+Refer to https://pandas.pydata.org/docs/reference/api/pandas.read_excel.html for more information.
+Set to empty dict by default, this means pandas will try to figure out the separators, table head, etc. on its own.
+
+#### one important parameter:
+
+**header:** _None or int, list of int, default 0._
+Row (0-indexed) to use for the column labels of the parsed DataFrame. If a list of integers is passed those row
+positions will be combined into a MultiIndex. Use None if there is no header.
+
+### Functions:
+
+load_data(file: Path, extra_info: Optional[Dict] = None, fs: Optional[AbstractFileSystem] = None)
+only process the first sheet
diff --git a/src/pai_rag/integrations/readers/pai_csv_reader.py b/src/pai_rag/integrations/readers/pai_csv_reader.py
new file mode 100644
index 00000000..3d1bde60
--- /dev/null
+++ b/src/pai_rag/integrations/readers/pai_csv_reader.py
@@ -0,0 +1,151 @@
+"""Tabular parser-CSV parser.
+
+Contains parsers for tabular data files.
+
+"""
+
+from pathlib import Path
+from typing import Any, Dict, List, Optional
+from fsspec import AbstractFileSystem
+
+import pandas as pd
+from llama_index.core.readers.base import BaseReader
+from llama_index.core.schema import Document
+
+
+class PaiCSVReader(BaseReader):
+    """CSV parser.
+
+    Args:
+        concat_rows (bool): whether to concatenate all rows into one document.
+            If set to False, a Document will be created for each row.
+            True by default.
+        header （object）: None or int, list of int, default 0.
+            Row (0-indexed) to use for the column labels of the parsed DataFrame. If a list of integers is passed those row
+            positions will be combined into a MultiIndex. Use None if there is no header.
+
+    """
+
+    def __init__(
+        self, *args: Any, concat_rows: bool = True, header: object = 0, **kwargs: Any
+    ) -> None:
+        """Init params."""
+        super().__init__(*args, **kwargs)
+        self._concat_rows = concat_rows
+        self._header = header
+
+    def load_data(
+        self, file: Path, extra_info: Optional[Dict] = None
+    ) -> List[Document]:
+        """Parse csv file.
+
+        Returns:
+            Union[str, List[str]]: a string or a List of strings.
+
+        """
+        try:
+            import csv
+        except ImportError:
+            raise ImportError("csv module is required to read CSV files.")
+        text_list = []
+        headers = []
+        data_lines = []
+        data_line_start_index = 1
+        if isinstance(self._header, list):
+            data_line_start_index = max(self._header) + 1
+        elif isinstance(self._header, int):
+            data_line_start_index = self._header + 1
+            self._header = [self._header]
+
+        with open(file) as fp:
+            csv_reader = csv.reader(fp)
+
+            if self._header is None:
+                for row in csv_reader:
+                    text_list.append(", ".join(row))
+            else:
+                for i, row in enumerate(csv_reader):
+                    if i in self._header:
+                        headers.append(row)
+                    elif i >= data_line_start_index:
+                        data_lines.append(row)
+                headers = [tuple(group) for group in zip(*headers)]
+                for line in data_lines:
+                    if len(line) == len(headers):
+                        data_entry = str(dict(zip(headers, line)))
+                        text_list.append(data_entry)
+
+        metadata = {"filename": file.name, "extension": file.suffix}
+        if extra_info:
+            metadata = {**metadata, **extra_info}
+
+        if self._concat_rows:
+            return [Document(text="\n".join(text_list), metadata=metadata)]
+        else:
+            return [Document(text=text, metadata=metadata) for text in text_list]
+
+
+class PaiPandasCSVReader(BaseReader):
+    r"""Pandas-based CSV parser.
+
+    Parses CSVs using the separator detection from Pandas `read_csv`function.
+    If special parameters are required, use the `pandas_config` dict.
+
+    Args:
+        concat_rows (bool): whether to concatenate all rows into one document.
+            If set to False, a Document will be created for each row.
+            True by default.
+
+        row_joiner (str): Separator to use for joining each row.
+            Only used when `concat_rows=True`.
+            Set to "\n" by default.
+
+        pandas_config (dict): Options for the `pandas.read_csv` function call.
+            Refer to https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html
+            for more information.
+            Set to empty dict by default, this means pandas will try to figure
+            out the separators, table head, etc. on its own.
+
+    """
+
+    def __init__(
+        self,
+        *args: Any,
+        concat_rows: bool = True,
+        row_joiner: str = "\n",
+        pandas_config: dict = {},
+        **kwargs: Any
+    ) -> None:
+        """Init params."""
+        super().__init__(*args, **kwargs)
+        self._concat_rows = concat_rows
+        self._row_joiner = row_joiner
+        self._pandas_config = pandas_config
+
+    def load_data(
+        self,
+        file: Path,
+        extra_info: Optional[Dict] = None,
+        fs: Optional[AbstractFileSystem] = None,
+    ) -> List[Document]:
+        """Parse csv file."""
+        if fs:
+            with fs.open(file) as f:
+                df = pd.read_csv(f, **self._pandas_config)
+        else:
+            df = pd.read_csv(file, **self._pandas_config)
+
+        text_list = df.apply(
+            lambda row: str(dict(zip(df.columns, row.astype(str)))), axis=1
+        ).tolist()
+
+        if self._concat_rows:
+            return [
+                Document(
+                    text=(self._row_joiner).join(text_list), metadata=extra_info or {}
+                )
+            ]
+        else:
+            return [
+                Document(text=text, metadata=extra_info or {}) for text in text_list
+            ]
diff --git a/src/pai_rag/integrations/readers/pai_excel_reader.py b/src/pai_rag/integrations/readers/pai_excel_reader.py
new file mode 100644
index 00000000..c300985a
--- /dev/null
+++ b/src/pai_rag/integrations/readers/pai_excel_reader.py
@@ -0,0 +1,121 @@
+"""Tabular parser-Excel parser.
+
+Contains parsers for tabular data files.
+
+"""
+
+from pathlib import Path
+from typing import Any, Dict, List, Optional
+from fsspec import AbstractFileSystem
+from openpyxl import load_workbook
+
+import pandas as pd
+from llama_index.core.readers.base import BaseReader
+from llama_index.core.schema import Document
+
+
+class PaiPandasExcelReader(BaseReader):
+    r"""Pandas-based Excel parser.
+
+
+    Args:
+        concat_rows (bool): whether to concatenate all rows into one document.
+            If set to False, a Document will be created for each row.
+            True by default.
+
+        row_joiner (str): Separator to use for joining each row.
+            Only used when `concat_rows=True`.
+            Set to "\n" by default.
+
+        pandas_config (dict): Options for the `pandas.read_excel` function call.
+            Refer to https://pandas.pydata.org/docs/reference/api/pandas.read_excel.html
+            for more information.
+            Set to empty dict by default, this means pandas will try to figure
+            out the separators, table head, etc. on its own.
+
+    """
+
+    def __init__(
+        self,
+        *args: Any,
+        concat_rows: bool = True,
+        row_joiner: str = "\n",
+        pandas_config: dict = {},
+        **kwargs: Any
+    ) -> None:
+        """Init params."""
+        super().__init__(*args, **kwargs)
+        self._concat_rows = concat_rows
+        self._row_joiner = row_joiner
+        self._pandas_config = pandas_config
+
+    def read_xlsx(
+        self,
+        file: Path,
+        fs: Optional[AbstractFileSystem] = None,
+    ):
+        """Parse Excel file。"""
+        if fs:
+            with fs.open(file) as f:
+                excel = pd.ExcelFile(load_workbook(f), engine="openpyxl")
+        else:
+            excel = pd.ExcelFile(load_workbook(file), engine="openpyxl")
+        sheet_name = excel.sheet_names[0]
+        sheet = excel.book[sheet_name]
+        df = excel.parse(sheet_name, **self._pandas_config)
+
+        header_max = 0
+        if (
+            "header" in self._pandas_config
+            and self._pandas_config["header"] is not None
+            and isinstance(self._pandas_config["header"], list)
+        ):
+            header_max = max(self._pandas_config["header"])
+        elif (
+            "header" in self._pandas_config
+            and self._pandas_config["header"] is not None
+            and isinstance(self._pandas_config["header"], int)
+        ):
+            header_max = self._pandas_config["header"]
+
+        for item in sheet.merged_cells:
+            top_col, top_row, bottom_col, bottom_row = item.bounds
+            base_value = item.start_cell.value
+            # Convert 1-based index to 0-based index
+            top_row -= 1
+            top_col -= 1
+            # Since the previous lines are set as headers, the coordinates need to be adjusted here.
+            if (
+                "header" in self._pandas_config
+                and self._pandas_config["header"] is not None
+            ) or "header" not in self._pandas_config:
+                top_row -= header_max + 1
+                bottom_row -= header_max + 1
+
+            df.iloc[top_row:bottom_row, top_col:bottom_col] = base_value
+        return df
+
+    def load_data(
+        self,
+        file: Path,
+        extra_info: Optional[Dict] = None,
+        fs: Optional[AbstractFileSystem] = None,
+    ) -> List[Document]:
+        """Parse Excel file. only process the first sheet"""
+
+        df = self.read_xlsx(file, fs)
+
+        text_list = df.apply(
+            lambda row: str(dict(zip(df.columns, row.astype(str)))), axis=1
+        ).tolist()
+
+        if self._concat_rows:
+            return [
+                Document(
+                    text=(self._row_joiner).join(text_list), metadata=extra_info or {}
+                )
+            ]
+        else:
+            return [
+                Document(text=text, metadata=extra_info or {}) for text in text_list
+            ]
diff --git a/src/pai_rag/modules/datareader/datareader_factory.py b/src/pai_rag/modules/datareader/datareader_factory.py
index abb46105..8c0b0c60 100644
--- a/src/pai_rag/modules/datareader/datareader_factory.py
+++ b/src/pai_rag/modules/datareader/datareader_factory.py
@@ -4,6 +4,8 @@
 from pai_rag.integrations.readers.pai_pdf_reader import PaiPDFReader
 from pai_rag.integrations.readers.llama_parse_reader import LlamaParseDirectoryReader
 from pai_rag.integrations.readers.html.html_reader import HtmlReader
+from pai_rag.integrations.readers.pai_csv_reader import PaiPandasCSVReader
+from pai_rag.integrations.readers.pai_excel_reader import PaiPandasExcelReader
 from llama_index.readers.database import DatabaseReader
 from llama_index.core import SimpleDirectoryReader
 import logging
@@ -25,6 +27,15 @@ def _create_new_instance(self, new_params: Dict[str, Any]):
                 enable_image_ocr=self.reader_config.get("enable_image_ocr", False),
                 model_dir=self.reader_config.get("easyocr_model_dir", None),
             ),
+            ".csv": PaiPandasCSVReader(
+                concat_rows=self.reader_config.get("concat_rows", False),
+            ),
+            ".xlsx": PaiPandasExcelReader(
+                concat_rows=self.reader_config.get("concat_rows", False),
+            ),
+            ".xls": PaiPandasExcelReader(
+                concat_rows=self.reader_config.get("concat_rows", False),
+            ),
         }
         return self
 
diff --git a/tests/data_readers/test_csv_reader.py b/tests/data_readers/test_csv_reader.py
new file mode 100644
index 00000000..f3de5b14
--- /dev/null
+++ b/tests/data_readers/test_csv_reader.py
@@ -0,0 +1,48 @@
+import os
+from pathlib import Path
+from pai_rag.core.rag_configuration import RagConfiguration
+from pai_rag.modules.module_registry import module_registry
+from pai_rag.integrations.readers.pai_csv_reader import PaiCSVReader, PaiPandasCSVReader
+from llama_index.core import SimpleDirectoryReader
+
+BASE_DIR = Path(__file__).parent.parent.parent
+
+
+def test_csv_reader():
+    config_file = os.path.join(BASE_DIR, "src/pai_rag/config/settings.toml")
+    config = RagConfiguration.from_file(config_file).get_value()
+    module_registry.init_modules(config)
+    reader_config = config["data_reader"]
+    directory_reader = SimpleDirectoryReader(
+        input_dir="tests/testdata/data/csv_data",
+        file_extractor={
+            ".csv": PaiCSVReader(
+                concat_rows=reader_config.get("concat_rows", False),
+                header=[0, 1],
+            )
+        },
+    )
+    documents = directory_reader.load_data()
+    for doc in documents:
+        print(doc)
+    assert len(documents) == 7
+
+
+def test_pandas_csv_reader():
+    config_file = os.path.join(BASE_DIR, "src/pai_rag/config/settings.toml")
+    config = RagConfiguration.from_file(config_file).get_value()
+    module_registry.init_modules(config)
+    reader_config = config["data_reader"]
+    directory_reader = SimpleDirectoryReader(
+        input_dir="tests/testdata/data/csv_data",
+        file_extractor={
+            ".csv": PaiPandasCSVReader(
+                concat_rows=reader_config.get("concat_rows", False),
+                pandas_config={"header": [0, 1]},
+            )
+        },
+    )
+    documents = directory_reader.load_data()
+    for doc in documents:
+        print(doc)
+    assert len(documents) == 7
diff --git a/tests/data_readers/test_excel_reader.py b/tests/data_readers/test_excel_reader.py
new file mode 100644
index 00000000..c98aad42
--- /dev/null
+++ b/tests/data_readers/test_excel_reader.py
@@ -0,0 +1,32 @@
+import os
+from pathlib import Path
+from pai_rag.core.rag_configuration import RagConfiguration
+from pai_rag.modules.module_registry import module_registry
+from pai_rag.integrations.readers.pai_excel_reader import PaiPandasExcelReader
+from llama_index.core import SimpleDirectoryReader
+
+BASE_DIR = Path(__file__).parent.parent.parent
+
+
+def test_pandas_excel_reader():
+    config_file = os.path.join(BASE_DIR, "src/pai_rag/config/settings.toml")
+    config = RagConfiguration.from_file(config_file).get_value()
+    module_registry.init_modules(config)
+    reader_config = config["data_reader"]
+    directory_reader = SimpleDirectoryReader(
+        input_dir="tests/testdata/data/excel_data",
+        file_extractor={
+            ".xlsx": PaiPandasExcelReader(
+                concat_rows=reader_config.get("concat_rows", False),
+                pandas_config={"header": [0, 1]},
+            ),
+            ".xls": PaiPandasExcelReader(
+                concat_rows=reader_config.get("concat_rows", False),
+                pandas_config={"header": [0, 1]},
+            ),
+        },
+    )
+    documents = directory_reader.load_data()
+    for doc in documents:
+        print(doc)
+    assert len(documents) == 7
diff --git "a/tests/testdata/data/csv_data/30\345\244\251\347\225\231\345\255\230\347\216\207_csv_two_header.csv" "b/tests/testdata/data/csv_data/30\345\244\251\347\225\231\345\255\230\347\216\207_csv_two_header.csv"
new file mode 100644
index 00000000..b0585488
--- /dev/null
+++ "b/tests/testdata/data/csv_data/30\345\244\251\347\225\231\345\255\230\347\216\207_csv_two_header.csv"
@@ -0,0 +1,9 @@
+time,metric
+date,rate
+20240101,0.9375
+20240201,0.9744
+20240301,0.9767
+20240401,0.9375
+20240501,0.9091
+20240601,0.9474
+20240701,0.9667
\ No newline at end of file
diff --git "a/tests/testdata/data/excel_data/30\345\244\251\347\225\231\345\255\230\347\216\207_excel_two_header.xlsx" "b/tests/testdata/data/excel_data/30\345\244\251\347\225\231\345\255\230\347\216\207_excel_two_header.xlsx"
new file mode 100644
index 00000000..dc548004
Binary files /dev/null and "b/tests/testdata/data/excel_data/30\345\244\251\347\225\231\345\255\230\347\216\207_excel_two_header.xlsx" differ