diff --git a/templates/AI-Develop RAG pipeline using SQL database in Fabric/AI-Develop RAG pipeline using SQL database in Fabric.json b/templates/AI-Develop RAG pipeline using SQL database in Fabric/AI-Develop RAG pipeline using SQL database in Fabric.json
new file mode 100644
index 00000000..4bf5fe9f
--- /dev/null
+++ b/templates/AI-Develop RAG pipeline using SQL database in Fabric/AI-Develop RAG pipeline using SQL database in Fabric.json	
@@ -0,0 +1,550 @@
+{
+    "$schema": "http://schema.management.azure.com/schemas/2015-01-01/deploymentTemplate.json#",
+    "contentVersion": "1.0.0.0",
+    "parameters": {
+        "": {
+            "type": "string"
+        }
+    },
+    "variables": {},
+    "resources": [
+        {
+            "name": "ai_rag_pipeline_using_sql_database_in_fabric",
+            "description": "This Retrieval Augmented Generation (RAG) data pipeline will get your data ready for building Generative AI and Agentic AI applications. Triggered by Azure Blob Storage events, the pipeline copies the file to the Lakehouse, extracts the content from the file, chunks the content, redacts any PII information, generates embeddings, and stores the chunks and embeddings in SQL Database in Fabric. Documentation: https://github.com/Azure-Samples/fabric-sqldb-ai-ragpipeline",
+            "type": "pipelines",
+            "apiVersion": "2018-06-01",
+            "properties": {
+                "activities": [
+                    {
+                        "name": "azureblob_to_lakehouse",
+                        "description": "Creates a folder with the same name of the container if not already exist and copies the file from Azure blob storage into the folder",
+                        "type": "TridentNotebook",
+                        "dependsOn": [],
+                        "policy": {
+                            "timeout": "0.12:00:00",
+                            "retry": 0,
+                            "retryIntervalInSeconds": 30,
+                            "secureOutput": false,
+                            "secureInput": false
+                        },
+                        "typeProperties": {
+                            "notebookId": "",
+                            "workspaceId": "",
+                            "parameters": {
+                                "fileName": {
+                                    "value": {
+                                        "value": "@variables('fileName')",
+                                        "type": "Expression"
+                                    },
+                                    "type": "string"
+                                },
+                                "container": {
+                                    "value": {
+                                        "value": "@variables('container')",
+                                        "type": "Expression"
+                                    },
+                                    "type": "string"
+                                },
+                                "source": {
+                                    "value": {
+                                        "value": "@variables('source')",
+                                        "type": "Expression"
+                                    },
+                                    "type": "string"
+                                }
+                            }
+                        }
+                    },
+                    {
+                        "name": "Extract Text",
+                        "description": "Extracts the text content from the file copied to the Lakehouse using the Document Intelligence AI Service.",
+                        "type": "AzureFunctionActivity",
+                        "dependsOn": [
+                            {
+                                "activity": "azureblob_to_lakehouse",
+                                "dependencyConditions": [
+                                    "Succeeded"
+                                ]
+                            }
+                        ],
+                        "policy": {
+                            "timeout": "0.12:00:00",
+                            "retry": 0,
+                            "retryIntervalInSeconds": 30,
+                            "secureOutput": false,
+                            "secureInput": false
+                        },
+                        "typeProperties": {
+                            "functionName": "",
+                            "parameters": {
+                                "filePath": {
+                                    "value": "@activity('azureblob_to_lakehouse').output.result.exitValue",
+                                    "type": "string"
+                                },
+                                "cognitiveServicesEndpoint": {
+                                    "value": "@variables('cognitiveServiceEndpoint')",
+                                    "type": "Expression"
+                                },
+                                "apiKey": {
+                                    "value": "@variables('apiKey')",
+                                    "type": "Expression"
+                                }
+                            },
+                            "functionSetId": "",
+                            "workspaceId": ""
+                        },
+                        "externalReferences": {
+                            "connection": "[parameters('')]"
+                        }
+                    },
+                    {
+                        "name": "Text Extraction Results",
+                        "description": "Validates the results of \"extract text\" activity",
+                        "type": "IfCondition",
+                        "dependsOn": [
+                            {
+                                "activity": "Extract Text",
+                                "dependencyConditions": [
+                                    "Completed"
+                                ]
+                            }
+                        ],
+                        "typeProperties": {
+                            "expression": {
+                                "value": "@empty(activity('Extract Text').error)",
+                                "type": "Expression"
+                            },
+                            "ifFalseActivities": [
+                                {
+                                    "name": "Text Extraction Failure Email Alert",
+                                    "description": "Sends an email to the configured recipient when text extraction fails",
+                                    "type": "Office365Outlook",
+                                    "dependsOn": [],
+                                    "typeProperties": {
+                                        "inputs": {
+                                            "method": "post",
+                                            "path": "/v2/Mail",
+                                            "body": {
+                                                "To": "@variables('recepientEmailAddress')",
+                                                "Subject": "Text Extraction Error",
+                                                "Body": "<pre style=\"font-family: monospace; background-color: #f0f0f0; padding: 10px; border: 1px solid #ccc; white-space: pre-wrap;\">\n@{replace(string(activity('Extract Text').error.message), '\\','')}\n</pre>",
+                                                "From": "@variables('senderEmailAddress')",
+                                                "Sensitivity": "",
+                                                "Importance": "High"
+                                            }
+                                        }
+                                    }
+                                },
+                                {
+                                    "name": "Text Extraction Process Failure",
+                                    "description": "Terminate pipeline execution",
+                                    "type": "Fail",
+                                    "dependsOn": [
+                                        {
+                                            "activity": "Text Extraction Failure Email Alert",
+                                            "dependencyConditions": [
+                                                "Succeeded"
+                                            ]
+                                        }
+                                    ],
+                                    "typeProperties": {
+                                        "message": {
+                                            "value": "@{replace(string(activity('Extract Text').error), '\\','')}",
+                                            "type": "Expression"
+                                        },
+                                        "errorCode": {
+                                            "value": "@{activity('Extract Text').statuscode}",
+                                            "type": "Expression"
+                                        }
+                                    }
+                                }
+                            ],
+                            "ifTrueActivities": []
+                        }
+                    },
+                    {
+                        "name": "Generate Chunks",
+                        "description": "Chunks the extracted text using tiktoken fixed-size chunking strategy",
+                        "type": "AzureFunctionActivity",
+                        "dependsOn": [
+                            {
+                                "activity": "Text Extraction Results",
+                                "dependencyConditions": [
+                                    "Succeeded"
+                                ]
+                            }
+                        ],
+                        "policy": {
+                            "timeout": "0.12:00:00",
+                            "retry": 0,
+                            "retryIntervalInSeconds": 30,
+                            "secureOutput": false,
+                            "secureInput": false
+                        },
+                        "typeProperties": {
+                            "functionName": "chunk_text",
+                            "parameters": {
+                                "text": {
+                                    "value": "@activity('Extract Text').output.output",
+                                    "type": "Expression"
+                                },
+                                "maxToken": "500",
+                                "encoding": "cl100k_base"
+                            },
+                            "functionSetId": "",
+                            "workspaceId": ""
+                        },
+                        "externalReferences": {
+                            "connection": "[parameters('')]"
+                        }
+                    },
+                    {
+                        "name": "Redact PII Data",
+                        "description": "From the chunks generated, redact any personally identifiable information (PII) content using Azure AI Language Service.",
+                        "type": "AzureFunctionActivity",
+                        "dependsOn": [
+                            {
+                                "activity": "Generate Chunks",
+                                "dependencyConditions": [
+                                    "Succeeded"
+                                ]
+                            }
+                        ],
+                        "policy": {
+                            "timeout": "0.12:00:00",
+                            "retry": 0,
+                            "retryIntervalInSeconds": 30,
+                            "secureOutput": false,
+                            "secureInput": false
+                        },
+                        "typeProperties": {
+                            "functionName": "redact_text",
+                            "parameters": {
+                                "text": {
+                                    "value": "@activity('Generate Chunks').output.output",
+                                    "type": "Expression"
+                                },
+                                "cognitiveServicesEndpoint": {
+                                    "value": "@variables('cognitiveServiceEndpoint')",
+                                    "type": "Expression"
+                                },
+                                "apiKey": {
+                                    "value": "@variables('apiKey')",
+                                    "type": "Expression"
+                                }
+                            },
+                            "functionSetId": "",
+                            "workspaceId": ""
+                        },
+                        "externalReferences": {
+                            "connection": "[parameters('')]"
+                        }
+                    },
+                    {
+                        "name": "PII Reaction Results",
+                        "description": "Validates the results of \"Redact PII data\" activity",
+                        "type": "IfCondition",
+                        "dependsOn": [
+                            {
+                                "activity": "Redact PII Data",
+                                "dependencyConditions": [
+                                    "Completed"
+                                ]
+                            }
+                        ],
+                        "typeProperties": {
+                            "expression": {
+                                "value": "@empty(activity('Redact PII Data').error)",
+                                "type": "Expression"
+                            },
+                            "ifFalseActivities": [
+                                {
+                                    "name": "Redaction Failure Email Alert",
+                                    "description": "Sends an email to the configured recipient when PII Redaction fails",
+                                    "type": "Office365Outlook",
+                                    "dependsOn": [],
+                                    "typeProperties": {
+                                        "inputs": {
+                                            "method": "post",
+                                            "path": "/v2/Mail",
+                                            "body": {
+                                                "To": "@variables('recepientEmailAddress')",
+                                                "Subject": "Text Redaction Error",
+                                                "Body": "<pre style=\"font-family: monospace; background-color: #f0f0f0; padding: 10px; border: 1px solid #ccc; white-space: pre-wrap;\">\n@{replace(string(activity('Redact PII Data').error.message), '\\','')}\n</pre>",
+                                                "From": "@variables('senderEmailAddress')",
+                                                "Sensitivity": "",
+                                                "Importance": "High"
+                                            }
+                                        }
+                                    }
+                                },
+                                {
+                                    "name": "Text Redaction Process Failure",
+                                    "description": "Terminate pipeline execution",
+                                    "type": "Fail",
+                                    "dependsOn": [
+                                        {
+                                            "activity": "Redaction Failure Email Alert",
+                                            "dependencyConditions": [
+                                                "Succeeded"
+                                            ]
+                                        }
+                                    ],
+                                    "typeProperties": {
+                                        "message": {
+                                            "value": "@{replace(string(activity('Redact PII Data').error), '\\','')}",
+                                            "type": "Expression"
+                                        },
+                                        "errorCode": {
+                                            "value": "@{activity('Redact PII Data').statuscode}",
+                                            "type": "Expression"
+                                        }
+                                    }
+                                }
+                            ],
+                            "ifTrueActivities": []
+                        }
+                    },
+                    {
+                        "name": "Generate Embeddings",
+                        "description": "Generates the embeddings for the chunk, redacted text using Azure Open AI Service and text-embedding-3-small embedding model.",
+                        "type": "AzureFunctionActivity",
+                        "dependsOn": [
+                            {
+                                "activity": "PII Reaction Results",
+                                "dependencyConditions": [
+                                    "Succeeded"
+                                ]
+                            }
+                        ],
+                        "policy": {
+                            "timeout": "0.12:00:00",
+                            "retry": 0,
+                            "retryIntervalInSeconds": 30,
+                            "secureOutput": false,
+                            "secureInput": false
+                        },
+                        "typeProperties": {
+                            "functionName": "generate_embeddings",
+                            "parameters": {
+                                "text": {
+                                    "value": "@activity('Redact PII Data').output.output",
+                                    "type": "Expression"
+                                },
+                                "openAIServiceEndpoint": {
+                                    "value": "@variables('openAIEndpoint')",
+                                    "type": "Expression"
+                                },
+                                "embeddingModel": {
+                                    "value": "@variables('embeddingModel')",
+                                    "type": "Expression"
+                                },
+                                "openAIKey": {
+                                    "value": "@variables('openAIKey')",
+                                    "type": "Expression"
+                                },
+                                "fileName": {
+                                    "value": "@variables('fileName')",
+                                    "type": "Expression"
+                                }
+                            },
+                            "functionSetId": "",
+                            "workspaceId": ""
+                        },
+                        "externalReferences": {
+                            "connection": "[parameters('')]"
+                        }
+                    },
+                    {
+                        "name": "Generate Embeddings Results",
+                        "description": "Validates the results of \"Generate Embeddings\" activity",
+                        "type": "IfCondition",
+                        "dependsOn": [
+                            {
+                                "activity": "Generate Embeddings",
+                                "dependencyConditions": [
+                                    "Completed"
+                                ]
+                            }
+                        ],
+                        "typeProperties": {
+                            "expression": {
+                                "value": "@empty(activity('Generate Embeddings').error)",
+                                "type": "Expression"
+                            },
+                            "ifFalseActivities": [
+                                {
+                                    "name": "Generate Embeddings Failure Email Alert",
+                                    "description": "Sends an email to the configured recipient when Embedding Generation fails",
+                                    "type": "Office365Outlook",
+                                    "dependsOn": [],
+                                    "typeProperties": {
+                                        "inputs": {
+                                            "method": "post",
+                                            "path": "/v2/Mail",
+                                            "body": {
+                                                "To": "@variables('recepientEmailAddress')",
+                                                "Subject": "Generate Embeddings Error",
+                                                "Body": "<pre style=\"font-family: monospace; background-color: #f0f0f0; padding: 10px; border: 1px solid #ccc; white-space: pre-wrap;\">\n@{replace(string(activity('Generate Embeddings').error.message), '\\','')}\n</pre>",
+                                                "From": "@variables('senderEmailAddress')",
+                                                "Sensitivity": "",
+                                                "Importance": "High"
+                                            }
+                                        }
+                                    }
+                                },
+                                {
+                                    "name": "Generate Embeddings Processing Failure",
+                                    "description": "Terminate pipeline execution",
+                                    "type": "Fail",
+                                    "dependsOn": [
+                                        {
+                                            "activity": "Generate Embeddings Failure Email Alert",
+                                            "dependencyConditions": [
+                                                "Succeeded"
+                                            ]
+                                        }
+                                    ],
+                                    "typeProperties": {
+                                        "message": {
+                                            "value": "@{replace(string(activity('Generate Embeddings').error), '\\','')}",
+                                            "type": "Expression"
+                                        },
+                                        "errorCode": {
+                                            "value": "@{activity('Generate Embeddings').statuscode}",
+                                            "type": "Expression"
+                                        }
+                                    }
+                                }
+                            ],
+                            "ifTrueActivities": []
+                        }
+                    },
+                    {
+                        "name": "Create Database Objects",
+                        "description": "Creates documents table in SQL Database if it does not exist",
+                        "type": "AzureFunctionActivity",
+                        "dependsOn": [
+                            {
+                                "activity": "Generate Embeddings Results",
+                                "dependencyConditions": [
+                                    "Succeeded"
+                                ]
+                            }
+                        ],
+                        "policy": {
+                            "timeout": "0.12:00:00",
+                            "retry": 0,
+                            "retryIntervalInSeconds": 30,
+                            "secureOutput": false,
+                            "secureInput": false
+                        },
+                        "typeProperties": {
+                            "functionName": "create_table",
+                            "parameters": {},
+                            "functionSetId": "",
+                            "workspaceId": ""
+                        },
+                        "externalReferences": {
+                            "connection": "[parameters('')]"
+                        }
+                    },
+                    {
+                        "name": "Save Data",
+                        "description": "Saves chunks and embeddings in documents table ",
+                        "type": "AzureFunctionActivity",
+                        "dependsOn": [
+                            {
+                                "activity": "Create Database Objects",
+                                "dependencyConditions": [
+                                    "Succeeded"
+                                ]
+                            }
+                        ],
+                        "policy": {
+                            "timeout": "0.12:00:00",
+                            "retry": 0,
+                            "retryIntervalInSeconds": 30,
+                            "secureOutput": false,
+                            "secureInput": false
+                        },
+                        "typeProperties": {
+                            "functionName": "insert_data",
+                            "parameters": {
+                                "data": {
+                                    "value": "@activity('Generate Embeddings').output.output",
+                                    "type": "Expression"
+                                }
+                            },
+                            "functionSetId": "",
+                            "workspaceId": ""
+                        },
+                        "externalReferences": {
+                            "connection": "[parameters('')]"
+                        }
+                    }
+                ],
+                "parameters": {
+                    "Documentation_Link": {
+                        "type": "string",
+                        "defaultValue": "https://github.com/Azure-Samples/fabric-sqldb-ai-ragpipeline"
+                    }
+                },
+                "variables": {
+                    "fileName": {
+                        "type": "String",
+                        "defaultValue": "@pipeline()?.TriggerEvent?.FileName"
+                    },
+                    "container": {
+                        "type": "String",
+                        "defaultValue": "@pipeline()?.TriggerEvent?.FolderPath"
+                    },
+                    "source": {
+                        "type": "String",
+                        "defaultValue": "@pipeline()?.TriggerEvent?.Source"
+                    },
+                    "apiKey": {
+                        "type": "String",
+                        "defaultValue": ""
+                    },
+                    "cognitiveServiceEndpoint": {
+                        "type": "String",
+                        "defaultValue": ""
+                    },
+                    "openAIEndpoint": {
+                        "type": "String",
+                        "defaultValue": ""
+                    },
+                    "openAIKey": {
+                        "type": "String",
+                        "defaultValue": ""
+                    },
+                    "embeddingModel": {
+                        "type": "String",
+                        "defaultValue": "text-embedding-3-small"
+                    },
+                    "recepientEmailAddress": {
+                        "type": "String",
+                        "defaultValue": ""
+                    },
+                    "senderEmailAddress": {
+                        "type": "String",
+                        "defaultValue": ""
+                    }
+                },
+                "lastModifiedByObjectId": "",
+                "lastPublishTime": "",
+                "logicAppsConnectionPayload": {
+                    "id": "",
+                    "properties": {
+                        "api": {
+                            "name": "office365",
+                            "id": ""
+                        }
+                    }
+                }
+            },
+            "dependsOn": []
+        }
+    ]
+}
\ No newline at end of file
diff --git a/templates/AI-Develop RAG pipeline using SQL database in Fabric/manifest.json b/templates/AI-Develop RAG pipeline using SQL database in Fabric/manifest.json
new file mode 100644
index 00000000..8015f380
--- /dev/null
+++ b/templates/AI-Develop RAG pipeline using SQL database in Fabric/manifest.json	
@@ -0,0 +1,25 @@
+{
+    "name": "ai_rag_pipeline_using_sql_database_in_fabric",
+    "description":"Use this Retrieval Augmented Generation (RAG) data pipeline template to get your data ready in SQL Database in fabric for building Generative AI and Agentic AI applications. \n\n Triggered by Azure Blob Storage events, the pipeline copies the file to the Lakehouse, extracts the content from the file, chunks the content, redacts any PII information, generates embeddings, and stores the chunks and embeddings in SQL Database in Fabric.\n\n As a part of configuring the pipeline, you will be required to provide values for predefined variables such as \"apiKey\", \"cognitiveServiceEndpoint\", \"openAIEndpoint\", \"openAIKey\" etc., by selecting the pipeline canvas and navigating to the variables menu. Additionally, the pipeline configuration will also depend on  Python Notebook and UserDataFunction. \n\nThe source files and documentation for this pipeline can  can be found at:\n https://github.com/Azure-Samples/fabric-sqldb-ai-ragpipeline",
+    "image": "<svg width=\"400px\" height=\"240px\" viewBox=\"0 0 400 240\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" style=\"display: block; letter-spacing: normal; word-spacing: normal; width: 400px; height: 240px;\"><g clip-path=\"url(#mainClip2316020)\"><g class=\"gojs-diagram\" transform=\"matrix(0.12574222843171498, 0, 0, 0.12574222843171498, 27.5445337059029, 99.49144254278728)\"><g transform=\"matrix(1, 0, 0, 1, 0, 101)\"><g class=\"gojs-ts\"/><g transform=\"matrix(1, 0, 0, 1, 1, 0)\"><g transform=\"matrix(1, 0, 0, 1, 0, 0)\"><path stroke=\"#d1d1d1\" fill=\"transparent\" stroke-width=\"1\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\" stroke-miterlimit=\"10\" d=\"M 2,0 L 191,0 C 191.89543050033842,0 193,1.1045694996615871 193,2 L 193,81.2 C 193,82.09543050033841 191.89543050033842,83.2 191,83.2 L 2,83.2 C 1.1045694996615871,83.2 0,82.09543050033841 0,81.2 L 0,2 C 0,1.1045694996615871 1.1045694996615871,0 2,0 z\" transform=\"matrix(1, 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+    "icons": [
+        "TridentNotebook",
+        "AzureFunctionActivity",
+        "IfCondition"
+    ],
+    "requires": {
+        "linkedservices": {
+            "UserDataFunctions": {
+                "supportTypes": [
+                    "UserDataFunctionsLS"
+                ]
+            }
+        }
+    },
+    "author": "sqlgenai@microsoft.com",
+    "annotations": ["AI", "RAG", "SQL Database", "Embedding", "Chunking","Vector", "Redact PII","Azure Blob Storage"],
+    "services": ["SQL Database in Fabric", "Azure Blob Storage"],
+    "categories": ["AI", "SQL Database", "Data Pipeline"],
+    "scope": ["PBI"],
+    "documentation" : "https://github.com/Azure-Samples/fabric-sqldb-ai-ragpipeline"
+}
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