diff --git a/extensions/connectors/sql/pandasai_sql/__init__.py b/extensions/connectors/sql/pandasai_sql/__init__.py
index 1dad51f01..086fffabe 100644
--- a/extensions/connectors/sql/pandasai_sql/__init__.py
+++ b/extensions/connectors/sql/pandasai_sql/__init__.py
@@ -1,3 +1,5 @@
+from typing import Optional
+
 import pandas as pd
 
 from pandasai.data_loader.semantic_layer_schema import (
@@ -6,7 +8,9 @@
 )
 
 
-def load_from_mysql(connection_info: SQLConnectionConfig, query: str):
+def load_from_mysql(
+    connection_info: SQLConnectionConfig, query: str, params: Optional[list] = None
+):
     import pymysql
 
     conn = pymysql.connect(
@@ -16,10 +20,12 @@ def load_from_mysql(connection_info: SQLConnectionConfig, query: str):
         database=connection_info.database,
         port=connection_info.port,
     )
-    return pd.read_sql(query, conn)
+    return pd.read_sql(query, conn, params=params)
 
 
-def load_from_postgres(connection_info: SQLConnectionConfig, query: str):
+def load_from_postgres(
+    connection_info: SQLConnectionConfig, query: str, params: Optional[list] = None
+):
     import psycopg2
 
     conn = psycopg2.connect(
@@ -29,17 +35,21 @@ def load_from_postgres(connection_info: SQLConnectionConfig, query: str):
         dbname=connection_info.database,
         port=connection_info.port,
     )
-    return pd.read_sql(query, conn)
+    return pd.read_sql(query, conn, params=params)
 
 
-def load_from_sqlite(connection_info: SqliteConnectionConfig, query: str):
+def load_from_sqlite(
+    connection_info: SqliteConnectionConfig, query: str, params: Optional[list] = None
+):
     import sqlite3
 
     conn = sqlite3.connect(connection_info.file_path)
-    return pd.read_sql(query, conn)
+    return pd.read_sql(query, conn, params=params)
 
 
-def load_from_cockroachdb(connection_info: SQLConnectionConfig, query: str):
+def load_from_cockroachdb(
+    connection_info: SQLConnectionConfig, query: str, params: Optional[list] = None
+):
     import psycopg2
 
     conn = psycopg2.connect(
@@ -49,7 +59,7 @@ def load_from_cockroachdb(connection_info: SQLConnectionConfig, query: str):
         dbname=connection_info.database,
         port=connection_info.port,
     )
-    return pd.read_sql(query, conn)
+    return pd.read_sql(query, conn, params=params)
 
 
 __all__ = [
diff --git a/extensions/connectors/sql/poetry.lock b/extensions/connectors/sql/poetry.lock
index bd4ca865c..7f8c07dc3 100644
--- a/extensions/connectors/sql/poetry.lock
+++ b/extensions/connectors/sql/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -6,8 +6,6 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -19,8 +17,6 @@ version = "0.8.1"
 description = "Read/rewrite/write Python ASTs"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "astor-0.8.1-py2.py3-none-any.whl", hash = "sha256:070a54e890cefb5b3739d19f30f5a5ec840ffc9c50ffa7d23cc9fc1a38ebbfc5"},
     {file = "astor-0.8.1.tar.gz", hash = "sha256:6a6effda93f4e1ce9f618779b2dd1d9d84f1e32812c23a29b3fff6fd7f63fa5e"},
@@ -32,8 +28,6 @@ version = "2024.12.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
     {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
@@ -45,8 +39,6 @@ version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"},
     {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"},
@@ -148,8 +140,6 @@ version = "0.3.5"
 description = "CockroachDB adapter for SQLAlchemy"
 optional = false
 python-versions = "*"
-groups = ["dev"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "cockroachdb-0.3.5-py3-none-any.whl", hash = "sha256:b09904b0381386102f6a613173e7b0ffa01addd56606dd4c807601e14fa054d3"},
     {file = "cockroachdb-0.3.5.tar.gz", hash = "sha256:cc36de86bdf8b56b24c6b556b0eaf20b7dd6e6a1cd73addd31c0ccc4c99639a2"},
@@ -161,12 +151,10 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
-groups = ["main", "test"]
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
-markers = {main = "python_version <= \"3.11\" and platform_system == \"Windows\"", test = "python_version <= \"3.11\" and sys_platform == \"win32\""}
 
 [[package]]
 name = "contourpy"
@@ -174,8 +162,6 @@ version = "1.3.0"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "contourpy-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:880ea32e5c774634f9fcd46504bf9f080a41ad855f4fef54f5380f5133d343c7"},
     {file = "contourpy-1.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:76c905ef940a4474a6289c71d53122a4f77766eef23c03cd57016ce19d0f7b42"},
@@ -260,8 +246,6 @@ version = "7.6.10"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.9"
-groups = ["test"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "coverage-7.6.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5c912978f7fbf47ef99cec50c4401340436d200d41d714c7a4766f377c5b7b78"},
     {file = "coverage-7.6.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a01ec4af7dfeb96ff0078ad9a48810bb0cc8abcb0115180c6013a6b26237626c"},
@@ -339,8 +323,6 @@ version = "0.12.1"
 description = "Composable style cycles"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
     {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
@@ -356,8 +338,6 @@ version = "1.1.3"
 description = "DuckDB in-process database"
 optional = false
 python-versions = ">=3.7.0"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "duckdb-1.1.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:1c0226dc43e2ee4cc3a5a4672fddb2d76fd2cf2694443f395c02dd1bea0b7fce"},
     {file = "duckdb-1.1.3-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:7c71169fa804c0b65e49afe423ddc2dc83e198640e3b041028da8110f7cd16f7"},
@@ -419,8 +399,6 @@ version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
-groups = ["test"]
-markers = "python_version < \"3.11\""
 files = [
     {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
     {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
@@ -435,8 +413,6 @@ version = "3.16.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
     {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
@@ -453,8 +429,6 @@ version = "4.55.3"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "fonttools-4.55.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1dcc07934a2165ccdc3a5a608db56fb3c24b609658a5b340aee4ecf3ba679dc0"},
     {file = "fonttools-4.55.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f7d66c15ba875432a2d2fb419523f5d3d347f91f48f57b8b08a2dfc3c39b8a3f"},
@@ -528,8 +502,6 @@ version = "2024.12.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "fsspec-2024.12.0-py3-none-any.whl", hash = "sha256:b520aed47ad9804237ff878b504267a3b0b441e97508bd6d2d8774e3db85cee2"},
     {file = "fsspec-2024.12.0.tar.gz", hash = "sha256:670700c977ed2fb51e0d9f9253177ed20cbde4a3e5c0283cc5385b5870c8533f"},
@@ -569,8 +541,6 @@ version = "3.1.1"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"
 files = [
     {file = "greenlet-3.1.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:0bbae94a29c9e5c7e4a2b7f0aae5c17e8e90acbfd3bf6270eeba60c39fce3563"},
     {file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fde093fb93f35ca72a556cf72c92ea3ebfda3d79fc35bb19fbe685853869a83"},
@@ -657,8 +627,6 @@ version = "0.27.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "huggingface_hub-0.27.1-py3-none-any.whl", hash = "sha256:1c5155ca7d60b60c2e2fc38cbb3ffb7f7c3adf48f824015b219af9061771daec"},
     {file = "huggingface_hub-0.27.1.tar.gz", hash = "sha256:c004463ca870283909d715d20f066ebd6968c2207dae9393fdffb3c1d4d8f98b"},
@@ -693,8 +661,6 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -709,8 +675,6 @@ version = "6.5.2"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version < \"3.10\""
 files = [
     {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"},
     {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"},
@@ -733,8 +697,6 @@ version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
-groups = ["test"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
@@ -746,8 +708,6 @@ version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"},
     {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
@@ -765,8 +725,6 @@ version = "1.4.7"
 description = "A fast implementation of the Cassowary constraint solver"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "kiwisolver-1.4.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8a9c83f75223d5e48b0bc9cb1bf2776cf01563e00ade8775ffe13b0b6e1af3a6"},
     {file = "kiwisolver-1.4.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:58370b1ffbd35407444d57057b57da5d6549d2d854fa30249771775c63b5fe17"},
@@ -890,8 +848,6 @@ version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8"},
     {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158"},
@@ -962,8 +918,6 @@ version = "3.7.5"
 description = "Python plotting package"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "matplotlib-3.7.5-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:4a87b69cb1cb20943010f63feb0b2901c17a3b435f75349fd9865713bfa63925"},
     {file = "matplotlib-3.7.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:d3ce45010fefb028359accebb852ca0c21bd77ec0f281952831d235228f15810"},
@@ -1032,8 +986,6 @@ version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
     {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
@@ -1079,8 +1031,6 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "test"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
     {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
@@ -1092,8 +1042,6 @@ version = "2.2.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "pandas-2.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1948ddde24197a0f7add2bdc4ca83bf2b1ef84a1bc8ccffd95eda17fd836ecb5"},
     {file = "pandas-2.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:381175499d3802cde0eabbaf6324cce0c4f5d52ca6f8c377c29ad442f50f6348"},
@@ -1175,15 +1123,13 @@ xml = ["lxml (>=4.9.2)"]
 
 [[package]]
 name = "pandasai"
-version = "3.0.0b0"
+version = "3.0.0b2"
 description = "Chat with your database (SQL, CSV, pandas, mongodb, noSQL, etc). PandaAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG."
 optional = false
-python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.12.*,!=3.13.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
+python-versions = "<3.12,>=3.8"
 files = [
-    {file = "pandasai-3.0.0b0-py3-none-any.whl", hash = "sha256:b70adaa762030f634edb25e66a9154293ca40c013fe78c7fd8e818c2318123e4"},
-    {file = "pandasai-3.0.0b0.tar.gz", hash = "sha256:941ffff5a2066533a359d4c303d13b2fad778b8011820187f4f4b3a3e054385a"},
+    {file = "pandasai-3.0.0b2-py3-none-any.whl", hash = "sha256:bb5f66e0a5ce73340331a705eb10353065ae5db762ed404ca8118210fcb8627f"},
+    {file = "pandasai-3.0.0b2.tar.gz", hash = "sha256:a86a4158a7eef6f06a809d129c6221b5b4cd6dc8ed35460e9e1cbb53e0038dcd"},
 ]
 
 [package.dependencies]
@@ -1194,6 +1140,7 @@ matplotlib = ">=3.7.1,<3.8"
 numpy = ">=1.17,<2.0"
 pandas = ">=2.0.3,<3.0.0"
 pillow = ">=10.1.0,<11.0.0"
+pyarrow = ">=14.0.1,<15.0.0"
 pydantic = ">=2.6.4,<3.0.0"
 python-dotenv = ">=1.0.0,<2.0.0"
 requests = ">=2.31.0,<3.0.0"
@@ -1213,8 +1160,6 @@ version = "10.4.0"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "pillow-10.4.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:4d9667937cfa347525b319ae34375c37b9ee6b525440f3ef48542fcf66f2731e"},
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 python-versions = ">=3.8"
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+
+[package.dependencies]
+numpy = ">=1.16.6"
+
 [[package]]
 name = "pydantic"
 version = "2.10.5"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
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@@ -1430,8 +1416,6 @@ version = "2.27.2"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
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@@ -1544,8 +1528,6 @@ version = "1.1.1"
 description = "Pure Python MySQL Driver"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
-markers = "python_version <= \"3.11\""
 files = [
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@@ -1561,8 +1543,6 @@ version = "3.2.1"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
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@@ -1577,8 +1557,6 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
-groups = ["test"]
-markers = "python_version <= \"3.11\""
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@@ -1601,8 +1579,6 @@ version = "4.1.0"
 description = "Pytest plugin for measuring coverage."
 optional = false
 python-versions = ">=3.7"
-groups = ["test"]
-markers = "python_version <= \"3.11\""
 files = [
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@@ -1621,8 +1597,6 @@ version = "3.14.0"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 optional = false
 python-versions = ">=3.8"
-groups = ["test"]
-markers = "python_version <= \"3.11\""
 files = [
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@@ -1640,8 +1614,6 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
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@@ -1656,8 +1628,6 @@ version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
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@@ -1672,8 +1642,6 @@ version = "2024.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
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@@ -1685,8 +1653,6 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
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@@ -1749,8 +1715,6 @@ version = "2024.11.6"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
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@@ -1854,8 +1818,6 @@ version = "2.32.3"
 description = "Python HTTP for Humans."
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-groups = ["main"]
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@@ -1877,8 +1839,6 @@ version = "0.5.2"
 description = ""
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
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@@ -1916,8 +1876,6 @@ version = "1.10.1"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = "<3.12,>=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
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@@ -1956,8 +1914,6 @@ version = "0.12.2"
 description = "Statistical data visualization"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "seaborn-0.12.2-py3-none-any.whl", hash = "sha256:ebf15355a4dba46037dfd65b7350f014ceb1f13c05e814eda2c9f5fd731afc08"},
     {file = "seaborn-0.12.2.tar.gz", hash = "sha256:374645f36509d0dcab895cba5b47daf0586f77bfe3b36c97c607db7da5be0139"},
@@ -1979,8 +1935,6 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
@@ -1992,8 +1946,6 @@ version = "2.0.37"
 description = "Database Abstraction Library"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "SQLAlchemy-2.0.37-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:da36c3b0e891808a7542c5c89f224520b9a16c7f5e4d6a1156955605e54aef0e"},
     {file = "SQLAlchemy-2.0.37-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e7402ff96e2b073a98ef6d6142796426d705addd27b9d26c3b32dbaa06d7d069"},
@@ -2089,8 +2041,6 @@ version = "25.34.1"
 description = "An easily customizable SQL parser and transpiler"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "sqlglot-25.34.1-py3-none-any.whl", hash = "sha256:15099f8af832e6f5593fb92211d8b3f0810744ac0dc443fb70010fa38dc2562b"},
     {file = "sqlglot-25.34.1.tar.gz", hash = "sha256:6952c083c4a8b8de3c09c10b262a03c6853071bd397f05759c08f1e2f3c683cb"},
@@ -2109,8 +2059,6 @@ version = "0.3.0"
 description = "An easily customizable SQL parser and transpiler"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "sqlglotrs-0.3.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:20483ace62f943d50a7caeae57b434d1872f0dfeebc697f5e97a6851e3cef254"},
     {file = "sqlglotrs-0.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:602feea94d9cfbba0d8b7cf40f144ce311f8c11f06b6a49638d6311b799ee578"},
@@ -2181,8 +2129,6 @@ version = "0.21.0"
 description = ""
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:3c4c93eae637e7d2aaae3d376f06085164e1660f89304c0ab2b1d08a406636b2"},
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:f53ea537c925422a2e0e92a24cce96f6bc5046bbef24a1652a5edc8ba975f62e"},
@@ -2215,8 +2161,6 @@ version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
-groups = ["test"]
-markers = "python_full_version <= \"3.11.0a6\""
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
     {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
@@ -2258,8 +2202,6 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
     {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
@@ -2281,8 +2223,6 @@ version = "4.48.1"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.9.0"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "transformers-4.48.1-py3-none-any.whl", hash = "sha256:24be0564b0a36d9e433d9a65de248f1545b6f6edce1737669605eb6a8141bbbb"},
     {file = "transformers-4.48.1.tar.gz", hash = "sha256:7c1931facc3ee8adcbf86fc7a87461d54c1e40eca3bb57fef1ee9f3ecd32187e"},
@@ -2352,8 +2292,6 @@ version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
@@ -2365,8 +2303,6 @@ version = "2024.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
     {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
@@ -2378,8 +2314,6 @@ version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version <= \"3.11\""
 files = [
     {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
     {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
@@ -2397,8 +2331,6 @@ version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
-markers = "python_version < \"3.10\""
 files = [
     {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
     {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
@@ -2413,6 +2345,6 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
 type = ["pytest-mypy"]
 
 [metadata]
-lock-version = "2.1"
+lock-version = "2.0"
 python-versions = ">=3.9,<3.12"
-content-hash = "7fdd73e21bcc443b496576913d19972fb5b9def1e93e657357bfc6ce30a71ad2"
+content-hash = "cffd4d0e0724464c4f543321863b773fdb757602286b7ca0bc8daa52705a7546"
diff --git a/extensions/connectors/sql/pyproject.toml b/extensions/connectors/sql/pyproject.toml
index fa91ad4af..ac650c2da 100644
--- a/extensions/connectors/sql/pyproject.toml
+++ b/extensions/connectors/sql/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "pandasai-sql"
-version = "0.1.2"
+version = "0.1.3"
 description = "SQL integration for PandaAI"
 authors = ["Gabriele Venturi"]
 license = "MIT"
@@ -8,7 +8,7 @@ readme = "README.md"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<3.12"
-pandasai = ">=3.0.0-beta.0"
+pandasai = ">=3.0.0-beta.2"
 sqlalchemy = "^2.0.0"
 numpy = ">=1.23.2,<2.0.0"
 
diff --git a/extensions/connectors/sql/tests/test_sql.py b/extensions/connectors/sql/tests/test_sql.py
index c71637ffb..6220a5108 100644
--- a/extensions/connectors/sql/tests/test_sql.py
+++ b/extensions/connectors/sql/tests/test_sql.py
@@ -51,7 +51,7 @@ def test_load_from_mysql(self, mock_read_sql, mock_pymysql_connect):
             database="test_db",
             port=3306,
         )
-        mock_read_sql.assert_called_once_with(query, mock_conn)
+        mock_read_sql.assert_called_once_with(query, mock_conn, params=None)
 
         # Assert the result is a DataFrame
         self.assertIsInstance(result, pd.DataFrame)
@@ -89,7 +89,7 @@ def test_load_from_postgres(self, mock_read_sql, mock_psycopg2_connect):
             dbname="test_db",
             port=5432,
         )
-        mock_read_sql.assert_called_once_with(query, mock_conn)
+        mock_read_sql.assert_called_once_with(query, mock_conn, params=None)
 
         # Assert the result is a DataFrame
         self.assertIsInstance(result, pd.DataFrame)
@@ -115,7 +115,7 @@ def test_load_from_sqlite(self, mock_read_sql, mock_sqlite3_connect):
 
         # Assert that the connection is made and SQL query is executed
         mock_sqlite3_connect.assert_called_once_with("test_db.sqlite")
-        mock_read_sql.assert_called_once_with(query, mock_conn)
+        mock_read_sql.assert_called_once_with(query, mock_conn, params=None)
 
         # Assert the result is a DataFrame
         self.assertIsInstance(result, pd.DataFrame)
@@ -153,12 +153,142 @@ def test_load_from_cockroachdb(self, mock_read_sql, mock_postgresql_connect):
             dbname="test_db",
             port=26257,
         )
-        mock_read_sql.assert_called_once_with(query, mock_conn)
+        mock_read_sql.assert_called_once_with(query, mock_conn, params=None)
 
         # Assert the result is a DataFrame
         self.assertIsInstance(result, pd.DataFrame)
         self.assertEqual(result.shape, (2, 2))
 
+    @patch("pymysql.connect")
+    @patch("pandas.read_sql")
+    def test_load_from_mysql_with_params(self, mock_read_sql, mock_pymysql_connect):
+        mock_conn = MagicMock()
+        mock_pymysql_connect.return_value = mock_conn
+        mock_read_sql.return_value = pd.DataFrame(
+            {"column1": [1, 2], "column2": [3, 4]}
+        )
+
+        connection_info = {
+            "host": "localhost",
+            "user": "root",
+            "password": "password",
+            "database": "test_db",
+            "port": 3306,
+        }
+        query = "SELECT * FROM test_table WHERE id = %s"
+        query_params = [123]
+
+        connection_config = SQLConnectionConfig(**connection_info)
+
+        result = load_from_mysql(connection_config, query, query_params)
+
+        mock_pymysql_connect.assert_called_once_with(
+            host="localhost",
+            user="root",
+            password="password",
+            database="test_db",
+            port=3306,
+        )
+        mock_read_sql.assert_called_once_with(query, mock_conn, params=query_params)
+
+        self.assertIsInstance(result, pd.DataFrame)
+        self.assertEqual(result.shape, (2, 2))
+
+    @patch("psycopg2.connect")
+    @patch("pandas.read_sql")
+    def test_load_from_postgres_with_params(self, mock_read_sql, mock_psycopg2_connect):
+        mock_conn = MagicMock()
+        mock_psycopg2_connect.return_value = mock_conn
+        mock_read_sql.return_value = pd.DataFrame(
+            {"column1": [5, 6], "column2": [7, 8]}
+        )
+
+        connection_info = {
+            "host": "localhost",
+            "user": "postgres",
+            "password": "password",
+            "database": "test_db",
+            "port": 5432,
+        }
+        query = "SELECT * FROM test_table WHERE name ILIKE %s"
+        query_params = ["%John%"]
+
+        connection_config = SQLConnectionConfig(**connection_info)
+
+        result = load_from_postgres(connection_config, query, query_params)
+
+        mock_psycopg2_connect.assert_called_once_with(
+            host="localhost",
+            user="postgres",
+            password="password",
+            dbname="test_db",
+            port=5432,
+        )
+        mock_read_sql.assert_called_once_with(query, mock_conn, params=query_params)
+
+        self.assertIsInstance(result, pd.DataFrame)
+        self.assertEqual(result.shape, (2, 2))
+
+    @patch("sqlite3.connect")
+    @patch("pandas.read_sql")
+    def test_load_from_sqlite_with_params(self, mock_read_sql, mock_sqlite3_connect):
+        mock_conn = MagicMock()
+        mock_sqlite3_connect.return_value = mock_conn
+        mock_read_sql.return_value = pd.DataFrame(
+            {"column1": [9, 10], "column2": [11, 12]}
+        )
+
+        connection_info = {"file_path": "test_db.sqlite"}
+        query = "SELECT * FROM test_table WHERE age > ?"
+        query_params = [30]
+
+        connection_config = SqliteConnectionConfig(**connection_info)
+
+        result = load_from_sqlite(connection_config, query, query_params)
+
+        mock_sqlite3_connect.assert_called_once_with("test_db.sqlite")
+        mock_read_sql.assert_called_once_with(query, mock_conn, params=query_params)
+
+        self.assertIsInstance(result, pd.DataFrame)
+        self.assertEqual(result.shape, (2, 2))
+
+    @patch("psycopg2.connect")
+    @patch("pandas.read_sql")
+    def test_load_from_cockroachdb_with_params(
+        self, mock_read_sql, mock_postgresql_connect
+    ):
+        mock_conn = MagicMock()
+        mock_postgresql_connect.return_value = mock_conn
+        mock_read_sql.return_value = pd.DataFrame(
+            {"column1": [13, 14], "column2": [15, 16]}
+        )
+
+        connection_info = {
+            "host": "localhost",
+            "user": "root",
+            "password": "password",
+            "database": "test_db",
+            "port": 26257,
+        }
+        query = "SELECT * FROM test_table WHERE status = %s"
+        query_params = ["active"]
+
+        connection_config = SQLConnectionConfig(**connection_info)
+
+        result = load_from_cockroachdb(connection_config, query, query_params)
+
+        mock_postgresql_connect.assert_called_once_with(
+            host="localhost",
+            user="root",
+            password="password",
+            dbname="test_db",
+            port=26257,
+        )
+        mock_read_sql.assert_called_once_with(query, mock_conn, params=query_params)
+
+        self.assertIsInstance(result, pd.DataFrame)
+        self.assertEqual(result.shape, (2, 2))
+
 
 if __name__ == "__main__":
     unittest.main()
diff --git a/pandasai/data_loader/loader.py b/pandasai/data_loader/loader.py
index d25a85035..a3bdab302 100644
--- a/pandasai/data_loader/loader.py
+++ b/pandasai/data_loader/loader.py
@@ -182,7 +182,7 @@ def get_row_count(self) -> int:
         result = self.execute_query(query)
         return result.iloc[0, 0]
 
-    def execute_query(self, query: str) -> pd.DataFrame:
+    def execute_query(self, query: str, params: Optional[list] = None) -> pd.DataFrame:
         source = self.schema.source
         source_type = source.type
         connection_info = source.connection
@@ -195,7 +195,7 @@ def execute_query(self, query: str) -> pd.DataFrame:
         load_function = self._get_loader_function(source_type)
 
         try:
-            return load_function(connection_info, formatted_query)
+            return load_function(connection_info, formatted_query, params)
         except Exception as e:
             raise RuntimeError(
                 f"Failed to execute query for '{source_type}' with: {formatted_query}"