diff --git a/LocalMind-Backend/package-lock.json b/LocalMind-Backend/package-lock.json
index e4ec022..913e23e 100644
--- a/LocalMind-Backend/package-lock.json
+++ b/LocalMind-Backend/package-lock.json
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         "@types/mongoose": "^5.11.97",
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+      "version": "5.4.296",
+      "resolved": "https://registry.npmjs.org/pdfjs-dist/-/pdfjs-dist-5.4.296.tgz",
+      "integrity": "sha512-DlOzet0HO7OEnmUmB6wWGJrrdvbyJKftI1bhMitK7O2N8W2gc757yyYBbINy9IDafXAV9wmKr9t7xsTaNKRG5Q==",
+      "license": "Apache-2.0",
+      "engines": {
+        "node": ">=20.16.0 || >=22.3.0"
+      },
+      "optionalDependencies": {
+        "@napi-rs/canvas": "^0.1.80"
+      }
+    },
     "node_modules/pend": {
       "version": "1.2.0",
       "resolved": "https://registry.npmjs.org/pend/-/pend-1.2.0.tgz",
@@ -14436,6 +15305,20 @@
       "integrity": "sha512-/LLMVyas0ljjAtoYiPqYiL8VWXzUUdThrmU5+n20DZv+a+ClRoevUzw5JxU+Ieh5/c87ytoTBV9G1FiKfNJdmg==",
       "license": "MIT"
     },
+    "node_modules/readable-stream": {
+      "version": "3.6.2",
+      "resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-3.6.2.tgz",
+      "integrity": "sha512-9u/sniCrY3D5WdsERHzHE4G2YCXqoG5FTHUiCC4SIbr6XcLZBY05ya9EKjYek9O5xOAwjGq+1JdGBAS7Q9ScoA==",
+      "license": "MIT",
+      "dependencies": {
+        "inherits": "^2.0.3",
+        "string_decoder": "^1.1.1",
+        "util-deprecate": "^1.0.1"
+      },
+      "engines": {
+        "node": ">= 6"
+      }
+    },
     "node_modules/readdirp": {
       "version": "3.6.0",
       "resolved": "https://registry.npmjs.org/readdirp/-/readdirp-3.6.0.tgz",
@@ -15084,6 +15967,23 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/streamsearch": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/streamsearch/-/streamsearch-1.1.0.tgz",
+      "integrity": "sha512-Mcc5wHehp9aXz1ax6bZUyY5afg9u2rv5cqQI3mRrYkGC8rW2hM02jWuwjtL++LS5qinSyhj2QfLyNsuc+VsExg==",
+      "engines": {
+        "node": ">=10.0.0"
+      }
+    },
+    "node_modules/string_decoder": {
+      "version": "1.3.0",
+      "resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.3.0.tgz",
+      "integrity": "sha512-hkRX8U1WjJFd8LsDJ2yQ/wWWxaopEsABU1XfkM8A+j0+85JAGppt16cr1Whg6KIbb4okU6Mql6BOj+uup/wKeA==",
+      "license": "MIT",
+      "dependencies": {
+        "safe-buffer": "~5.2.0"
+      }
+    },
     "node_modules/string-length": {
       "version": "4.0.2",
       "resolved": "https://registry.npmjs.org/string-length/-/string-length-4.0.2.tgz",
@@ -15678,6 +16578,12 @@
         "node": ">= 0.6"
       }
     },
+    "node_modules/typedarray": {
+      "version": "0.0.6",
+      "resolved": "https://registry.npmjs.org/typedarray/-/typedarray-0.0.6.tgz",
+      "integrity": "sha512-/aCDEGatGvZ2BIk+HmLf4ifCJFwvKFNb9/JeZPMulfgFracn9QFcAf5GO8B/mweUjSoblS5In0cWhqpfs/5PQA==",
+      "license": "MIT"
+    },
     "node_modules/typescript": {
       "version": "5.9.3",
       "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.9.3.tgz",
@@ -15820,6 +16726,12 @@
         "punycode": "^2.1.0"
       }
     },
+    "node_modules/util-deprecate": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
+      "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==",
+      "license": "MIT"
+    },
     "node_modules/uuid": {
       "version": "10.0.0",
       "resolved": "https://registry.npmjs.org/uuid/-/uuid-10.0.0.tgz",
@@ -16083,7 +16995,6 @@
       "version": "4.0.2",
       "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz",
       "integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=0.4"
diff --git a/LocalMind-Backend/package.json b/LocalMind-Backend/package.json
index b7a3717..7251979 100644
--- a/LocalMind-Backend/package.json
+++ b/LocalMind-Backend/package.json
@@ -55,6 +55,7 @@
     "@types/jsonwebtoken": "^9.0.10",
     "@types/mongoose": "^5.11.97",
     "@types/morgan": "^1.9.10",
+    "@types/multer": "^2.0.0",
     "argon2": "^0.44.0",
     "axios": "^1.12.2",
     "bcrypt": "^6.0.0",
@@ -70,9 +71,11 @@
     "localtunnel": "^2.0.2",
     "mongoose": "^8.19.1",
     "morgan": "^1.10.1",
+    "multer": "^2.0.2",
     "ngrok": "5.0.0-beta.2",
     "nodemailer": "^7.0.10",
     "ora": "^9.0.0",
+    "pdf-parse": "^2.4.5",
     "zod": "^4.1.12"
   }
 }
diff --git a/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.controller.ts b/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.controller.ts
index 834f41c..9a1e1a0 100644
--- a/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.controller.ts
+++ b/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.controller.ts
@@ -1,27 +1,106 @@
 import { Request, Response } from 'express'
-
-import { CSVLoader } from '@langchain/community/document_loaders/fs/csv'
 import path from 'path'
+import * as fs from 'fs'
 import { SendResponse } from '../../../../utils/SendResponse.utils'
 import DataSetService from './DataSet.service'
+import FileLoaderUtils from './DataSet.fileLoader'
+import { FileFormat } from './DataSet.type'
 
 class DataSetController {
+  /**
+   * Upload and process dataset with support for multiple file formats
+   * Supports: CSV, PDF, TXT, JSON, TSV
+   */
   public async uploadDataSet(req: Request, res: Response): Promise<void> {
     try {
-      const filePath = path.join(path.resolve(), 'src', 'data', 'Sample.csv')
+      // Check if file was uploaded
+      if (!req.file) {
+        SendResponse.error(res, 'No file uploaded', 400)
+        return
+      }
+
+      const uploadedFile = req.file
+      const filePath = uploadedFile.path
+
+      // Detect file format
+      const fileFormat = FileLoaderUtils.detectFileFormat(
+        uploadedFile.originalname,
+        uploadedFile.mimetype
+      )
+
+      if (!fileFormat) {
+        // Clean up uploaded file
+        if (fs.existsSync(filePath)) {
+          fs.unlinkSync(filePath)
+        }
+        SendResponse.error(
+          res,
+          'Unsupported file format. Supported formats: CSV, PDF, TXT, JSON, TSV',
+          400
+        )
+        return
+      }
+
+      // Load documents from file
+      const documents = await FileLoaderUtils.loadFile(filePath, fileFormat)
+
+      if (!documents || documents.length === 0) {
+        if (fs.existsSync(filePath)) {
+          fs.unlinkSync(filePath)
+        }
+        SendResponse.error(res, 'No data found in the uploaded file', 400)
+        return
+      }
 
-      const loader = new CSVLoader(filePath)
-      const documents = await loader.load()
+      // Process the dataset
+      const processedData = await DataSetService.Prepate_DataSet(documents)
 
-      const Prepare_dataSet = await DataSetService.Prepate_DataSet(documents)
+      // Clean up uploaded file after processing
+      if (fs.existsSync(filePath)) {
+        fs.unlinkSync(filePath)
+      }
 
       SendResponse.success(
         res,
-        'Dataset uploaded and processed successfully',
-        JSON.parse(Prepare_dataSet)
+        `Dataset uploaded and processed successfully (Format: ${fileFormat.toUpperCase()})`,
+        JSON.parse(processedData)
       )
     } catch (error: any) {
-      SendResponse.error(res, 'Failed to upload dataset', 500, error)
+      // Clean up uploaded file on error
+      if (req.file && fs.existsSync(req.file.path)) {
+        fs.unlinkSync(req.file.path)
+      }
+      SendResponse.error(
+        res,
+        'Failed to upload and process dataset',
+        500,
+        error.message
+      )
+    }
+  }
+
+  /**
+   * Get list of supported file formats
+   */
+  public async getSupportedFormats(
+    req: Request,
+    res: Response
+  ): Promise<void> {
+    try {
+      const formats = Object.values(FileFormat)
+      SendResponse.success(res, 'Supported file formats', {
+        formats,
+        description: {
+          csv: 'Comma-separated values file',
+          xlsx: 'Excel spreadsheet (not yet fully supported)',
+          tsv: 'Tab-separated values file',
+          json: 'JSON file with Q&A pairs',
+          pdf: 'PDF document',
+          txt: 'Plain text file',
+        },
+      })
+    } catch (error: any) {
+      SendResponse.error(res, 'Failed to get supported formats', 500, error)
     }
   }
 }
diff --git a/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.fileLoader.ts b/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.fileLoader.ts
new file mode 100644
index 0000000..f8717b1
--- /dev/null
+++ b/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.fileLoader.ts
@@ -0,0 +1,237 @@
+import { CSVLoader } from '@langchain/community/document_loaders/fs/csv'
+import { PDFLoader } from '@langchain/community/document_loaders/fs/pdf'
+import { Document } from '@langchain/core/documents'
+import { FileFormat, UploadedFileMetadata } from './DataSet.type'
+import * as fs from 'fs'
+import * as path from 'path'
+
+/**
+ * File loader class to handle different file formats
+ */
+class FileLoaderUtils {
+  /**
+   * Detect file format from file extension or MIME type
+   */
+  public detectFileFormat(filename: string, mimeType?: string): FileFormat | null {
+    const extension = path.extname(filename).toLowerCase().slice(1)
+
+    const formatMap: Record<string, FileFormat> = {
+      csv: FileFormat.CSV,
+      xlsx: FileFormat.XLSX,
+      xls: FileFormat.XLSX,
+      tsv: FileFormat.TSV,
+      json: FileFormat.JSON,
+      pdf: FileFormat.PDF,
+      txt: FileFormat.TXT,
+    }
+
+    // Try by extension first
+    if (formatMap[extension]) {
+      return formatMap[extension]
+    }
+
+    // Try by MIME type
+    if (mimeType) {
+      const mimeFormatMap: Record<string, FileFormat> = {
+        'text/csv': FileFormat.CSV,
+        'application/vnd.ms-excel': FileFormat.XLSX,
+        'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet':
+          FileFormat.XLSX,
+        'text/tab-separated-values': FileFormat.TSV,
+        'application/json': FileFormat.JSON,
+        'application/pdf': FileFormat.PDF,
+        'text/plain': FileFormat.TXT,
+      }
+
+      if (mimeFormatMap[mimeType]) {
+        return mimeFormatMap[mimeType]
+      }
+    }
+
+    return null
+  }
+
+  /**
+   * Load documents from a CSV file
+   */
+  private async loadCSV(filePath: string): Promise<Document[]> {
+    const loader = new CSVLoader(filePath)
+    return await loader.load()
+  }
+
+  /**
+   * Load documents from a PDF file
+   */
+  private async loadPDF(filePath: string): Promise<Document[]> {
+    const loader = new PDFLoader(filePath, {
+      splitPages: false, // Load entire PDF as one document
+    })
+    return await loader.load()
+  }
+
+  /**
+   * Load documents from a TXT file
+   */
+  private async loadTXT(filePath: string): Promise<Document[]> {
+    try {
+      const fileContent = fs.readFileSync(filePath, 'utf-8')
+
+      // Split by double newlines to separate Q&A pairs or paragraphs
+      const sections = fileContent
+        .split(/\n\n+/)
+        .filter((section) => section.trim().length > 0)
+
+      if (sections.length === 0) {
+        // If no double newlines, treat entire content as one document
+        return [
+          new Document({
+            pageContent: fileContent,
+            metadata: { source: filePath },
+          }),
+        ]
+      }
+
+      // Create a document for each section
+      const documents = sections.map((section, index) => {
+        return new Document({
+          pageContent: section.trim(),
+          metadata: { source: filePath, section: index },
+        })
+      })
+
+      return documents
+    } catch (error) {
+      throw new Error(`Failed to load TXT file: ${error}`)
+    }
+  }
+
+  /**
+   * Load documents from a JSON file
+   */
+  private async loadJSON(filePath: string): Promise<Document[]> {
+    try {
+      // Read the JSON file
+      const fileContent = fs.readFileSync(filePath, 'utf-8')
+      const jsonData = JSON.parse(fileContent)
+
+      // Check if it's an array of Q&A pairs
+      if (Array.isArray(jsonData)) {
+        // Convert array to documents
+        const documents = jsonData.map((item, index) => {
+          const pageContent = JSON.stringify(item)
+          return new Document({
+            pageContent,
+            metadata: { source: filePath, row: index },
+          })
+        })
+        return documents
+      }
+
+      // If it's a single object, wrap it in an array
+      const pageContent = JSON.stringify(jsonData)
+      return [
+        new Document({
+          pageContent,
+          metadata: { source: filePath },
+        }),
+      ]
+    } catch (error) {
+      throw new Error(`Failed to parse JSON file: ${error}`)
+    }
+  }
+
+  /**
+   * Load documents from a TSV file
+   */
+  private async loadTSV(filePath: string): Promise<Document[]> {
+    // TSV is similar to CSV but with tab delimiter
+    const loader = new CSVLoader(filePath, {
+      separator: '\t',
+    })
+    return await loader.load()
+  }
+
+  /**
+   * Main method to load file based on format
+   */
+  public async loadFile(
+    filePath: string,
+    format: FileFormat
+  ): Promise<Document[]> {
+    // Validate file exists
+    if (!fs.existsSync(filePath)) {
+      throw new Error(`File not found: ${filePath}`)
+    }
+
+    try {
+      switch (format) {
+        case FileFormat.CSV:
+          return await this.loadCSV(filePath)
+
+        case FileFormat.PDF:
+          return await this.loadPDF(filePath)
+
+        case FileFormat.TXT:
+          return await this.loadTXT(filePath)
+
+        case FileFormat.JSON:
+          return await this.loadJSON(filePath)
+
+        case FileFormat.TSV:
+          return await this.loadTSV(filePath)
+
+        case FileFormat.XLSX:
+          // For Excel files, you'll need to convert to CSV first
+          // or use a library like 'xlsx' to parse them
+          throw new Error(
+            'XLSX format not yet implemented. Please convert to CSV.'
+          )
+
+        default:
+          throw new Error(`Unsupported file format: ${format}`)
+      }
+    } catch (error) {
+      throw new Error(`Failed to load file: ${error}`)
+    }
+  }
+
+  /**
+   * Get file metadata
+   */
+  public getFileMetadata(filePath: string): UploadedFileMetadata {
+    const stats = fs.statSync(filePath)
+    const filename = path.basename(filePath)
+    const format = this.detectFileFormat(filename)
+
+    if (!format) {
+      throw new Error(`Unable to detect file format for: ${filename}`)
+    }
+
+    return {
+      originalName: filename,
+      mimeType: this.getMimeType(format),
+      size: stats.size,
+      path: filePath,
+      format,
+    }
+  }
+
+  /**
+   * Get MIME type from file format
+   */
+  private getMimeType(format: FileFormat): string {
+    const mimeTypes: Record<FileFormat, string> = {
+      [FileFormat.CSV]: 'text/csv',
+      [FileFormat.XLSX]:
+        'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
+      [FileFormat.TSV]: 'text/tab-separated-values',
+      [FileFormat.JSON]: 'application/json',
+      [FileFormat.PDF]: 'application/pdf',
+      [FileFormat.TXT]: 'text/plain',
+    }
+
+    return mimeTypes[format] || 'application/octet-stream'
+  }
+}
+
+export default new FileLoaderUtils()
diff --git a/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.multer.ts b/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.multer.ts
new file mode 100644
index 0000000..c28a3e3
--- /dev/null
+++ b/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.multer.ts
@@ -0,0 +1,59 @@
+import multer from 'multer'
+import path from 'path'
+import * as fs from 'fs'
+
+// Ensure uploads directory exists
+const uploadsDir = path.join(process.cwd(), 'uploads', 'datasets')
+if (!fs.existsSync(uploadsDir)) {
+  fs.mkdirSync(uploadsDir, { recursive: true })
+}
+
+// Configure storage
+const storage = multer.diskStorage({
+  destination: (req, file, cb) => {
+    cb(null, uploadsDir)
+  },
+  filename: (req, file, cb) => {
+    // Generate unique filename with timestamp
+    const uniqueSuffix = Date.now() + '-' + Math.round(Math.random() * 1e9)
+    const ext = path.extname(file.originalname)
+    const basename = path.basename(file.originalname, ext)
+    cb(null, `${basename}-${uniqueSuffix}${ext}`)
+  },
+})
+
+// File filter to accept only specific file types
+const fileFilter = (
+  req: Express.Request,
+  file: Express.Multer.File,
+  cb: multer.FileFilterCallback
+) => {
+  const allowedMimeTypes = [
+    'text/csv',
+    'application/pdf',
+    'text/plain',
+    'application/json',
+    'text/tab-separated-values',
+    'application/vnd.ms-excel',
+    'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
+  ]
+
+  if (allowedMimeTypes.includes(file.mimetype)) {
+    cb(null, true)
+  } else {
+    cb(
+      new Error(
+        'Invalid file type. Only CSV, PDF, TXT, JSON, and TSV files are allowed.'
+      )
+    )
+  }
+}
+
+// Configure multer
+export const upload = multer({
+  storage,
+  fileFilter,
+  limits: {
+    fileSize: 10 * 1024 * 1024, // 10MB max file size
+  },
+})
diff --git a/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.routes.ts b/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.routes.ts
index 4fe3502..c453523 100644
--- a/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.routes.ts
+++ b/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.routes.ts
@@ -1,7 +1,27 @@
 import { Router } from 'express'
 import DataSetController from './DataSet.controller'
+import DataSetValidator from './DataSet.validator'
+import { upload } from './DataSet.multer'
+
 const router: Router = Router()
 
-router.get('/upload', DataSetController.uploadDataSet)
+/**
+ * @route   POST /api/v1/dataset/upload
+ * @desc    Upload and process a dataset file (CSV, PDF, TXT, JSON, TSV)
+ * @access  Public (add authentication if needed)
+ */
+router.post(
+  '/upload',
+  upload.single('file'), // 'file' is the field name for the uploaded file
+  DataSetValidator.validateFileUpload,
+  DataSetController.uploadDataSet
+)
+
+/**
+ * @route   GET /api/v1/dataset/formats
+ * @desc    Get list of supported file formats
+ * @access  Public
+ */
+router.get('/formats', DataSetController.getSupportedFormats)
 
 export { router as DataSetRoutes }
diff --git a/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.type.ts b/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.type.ts
index e69de29..7061a17 100644
--- a/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.type.ts
+++ b/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.type.ts
@@ -0,0 +1,48 @@
+/**
+ * Supported file formats for dataset upload
+ */
+export enum FileFormat {
+  CSV = 'csv',
+  XLSX = 'xlsx',
+  TSV = 'tsv',
+  JSON = 'json',
+  PDF = 'pdf',
+  TXT = 'txt',
+}
+
+/**
+ * Interface for question-answer pair extracted from dataset
+ */
+export interface QuestionAnswerPair {
+  question: string
+  answer: string
+}
+
+/**
+ * Interface for validation error
+ */
+export interface ValidationError {
+  row?: number
+  fieldName: string
+  error_message: string
+}
+
+/**
+ * Interface for dataset processing result
+ */
+export interface DataSetProcessingResult {
+  success: boolean
+  data?: QuestionAnswerPair[]
+  errors?: ValidationError[]
+}
+
+/**
+ * Interface for file upload metadata
+ */
+export interface UploadedFileMetadata {
+  originalName: string
+  mimeType: string
+  size: number
+  path: string
+  format: FileFormat
+}
diff --git a/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.validator.ts b/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.validator.ts
index e69de29..9395e65 100644
--- a/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.validator.ts
+++ b/LocalMind-Backend/src/api/v1/DataSet/v1/DataSet.validator.ts
@@ -0,0 +1,119 @@
+import { Request, Response, NextFunction } from 'express'
+import { SendResponse } from '../../../../utils/SendResponse.utils'
+import { FileFormat } from './DataSet.type'
+
+/**
+ * File upload validation middleware
+ */
+class DataSetValidator {
+  /**
+   * Allowed file extensions
+   */
+  private readonly ALLOWED_EXTENSIONS = ['.csv', '.pdf', '.txt', '.json', '.tsv']
+
+  /**
+   * Allowed MIME types
+   */
+  private readonly ALLOWED_MIME_TYPES = [
+    'text/csv',
+    'application/pdf',
+    'text/plain',
+    'application/json',
+    'text/tab-separated-values',
+    'application/vnd.ms-excel',
+    'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
+  ]
+
+  /**
+   * Maximum file size (10MB)
+   */
+  private readonly MAX_FILE_SIZE = 10 * 1024 * 1024 // 10MB in bytes
+
+  /**
+   * Validate uploaded file
+   */
+  public validateFileUpload = (
+    req: Request,
+    res: Response,
+    next: NextFunction
+  ): void => {
+    try {
+      // Check if file exists in request
+      if (!req.file) {
+        SendResponse.error(res, 'No file uploaded', 400)
+        return
+      }
+
+      const file = req.file
+
+      // Validate file size
+      if (file.size > this.MAX_FILE_SIZE) {
+        SendResponse.error(
+          res,
+          `File size exceeds maximum limit of ${this.MAX_FILE_SIZE / (1024 * 1024)}MB`,
+          400
+        )
+        return
+      }
+
+      // Validate file size (minimum)
+      if (file.size === 0) {
+        SendResponse.error(res, 'Uploaded file is empty', 400)
+        return
+      }
+
+      // Validate file extension
+      const fileExtension = file.originalname
+        .toLowerCase()
+        .substring(file.originalname.lastIndexOf('.'))
+
+      if (!this.ALLOWED_EXTENSIONS.includes(fileExtension)) {
+        SendResponse.error(
+          res,
+          `Invalid file extension. Allowed extensions: ${this.ALLOWED_EXTENSIONS.join(', ')}`,
+          400
+        )
+        return
+      }
+
+      // Validate MIME type
+      if (!this.ALLOWED_MIME_TYPES.includes(file.mimetype)) {
+        SendResponse.error(
+          res,
+          `Invalid file type. Allowed types: ${this.ALLOWED_MIME_TYPES.join(', ')}`,
+          400
+        )
+        return
+      }
+
+      // All validations passed
+      next()
+    } catch (error: any) {
+      SendResponse.error(res, 'File validation failed', 400, error.message)
+    }
+  }
+
+  /**
+   * Validate file format parameter
+   */
+  public validateFileFormat = (
+    req: Request,
+    res: Response,
+    next: NextFunction
+  ): void => {
+    const { format } = req.query
+
+    if (format && !Object.values(FileFormat).includes(format as FileFormat)) {
+      SendResponse.error(
+        res,
+        `Invalid format. Supported formats: ${Object.values(FileFormat).join(', ')}`,
+        400
+      )
+      return
+    }
+
+    next()
+  }
+}
+
+export default new DataSetValidator()
diff --git a/LocalMind-Backend/src/api/v1/DataSet/v1/README.md b/LocalMind-Backend/src/api/v1/DataSet/v1/README.md
new file mode 100644
index 0000000..07debf3
--- /dev/null
+++ b/LocalMind-Backend/src/api/v1/DataSet/v1/README.md
@@ -0,0 +1,345 @@
+# RAG Dataset Enhancement - Multi-Format File Upload Support
+
+## 🎯 Overview
+
+This feature adds support for multiple file formats to the LocalMind RAG (Retrieval-Augmented Generation) system, enabling users to upload and process datasets in various formats beyond the original CSV support.
+
+## ✨ New Features
+
+### Supported File Formats
+
+| Format | Extension | Description | Status |
+|--------|-----------|-------------|--------|
+| **CSV** | `.csv` | Comma-separated values | ✅ Supported |
+| **JSON** | `.json` | JSON file with Q&A pairs | ✅ **NEW** |
+| **PDF** | `.pdf` | PDF documents | ✅ **NEW** |
+| **TXT** | `.txt` | Plain text files | ✅ **NEW** |
+| **TSV** | `.tsv` | Tab-separated values | ✅ **NEW** |
+| **XLSX** | `.xlsx` | Excel spreadsheet | 🔜 Coming Soon |
+
+## 🏗️ Architecture
+
+### New Files Created
+
+```
+LocalMind-Backend/src/api/v1/DataSet/v1/
+├── DataSet.type.ts          # TypeScript interfaces and enums (NEW)
+├── DataSet.fileLoader.ts    # File loader utility for all formats (NEW)
+├── DataSet.multer.ts        # Multer configuration for file uploads (NEW)
+├── DataSet.validator.ts     # File validation middleware (UPDATED)
+├── DataSet.controller.ts    # Updated controller with multi-format support (UPDATED)
+├── DataSet.routes.ts        # Updated routes with POST endpoint (UPDATED)
+├── DataSet.service.ts       # Service layer (EXISTING)
+├── DataSet.utils.ts         # Utility functions (EXISTING)
+└── test-samples/            # Sample test files (NEW)
+    ├── sample-qa.csv
+    ├── sample-qa.json
+    ├── sample-qa.txt
+    └── sample-qa.tsv
+```
+
+## 📦 New Dependencies
+
+- `pdf-parse` - PDF parsing library
+- `multer` - File upload middleware
+- `@types/multer` - TypeScript types for multer
+
+## 🚀 Usage
+
+### API Endpoints
+
+#### 1. Upload Dataset
+
+**Endpoint:** `POST /api/v1/dataset/upload`
+
+**Description:** Upload and process a dataset file
+
+**Request:**
+- Method: `POST`
+- Content-Type: `multipart/form-data`
+- Body: Form data with `file` field
+
+**Example using cURL:**
+
+```bash
+# Upload CSV file
+curl -X POST http://localhost:5000/api/v1/dataset/upload \
+  -F "file=@sample-qa.csv"
+
+# Upload JSON file
+curl -X POST http://localhost:5000/api/v1/dataset/upload \
+  -F "file=@sample-qa.json"
+
+# Upload PDF file
+curl -X POST http://localhost:5000/api/v1/dataset/upload \
+  -F "file=@sample-qa.pdf"
+
+# Upload TXT file
+curl -X POST http://localhost:5000/api/v1/dataset/upload \
+  -F "file=@sample-qa.txt"
+
+# Upload TSV file
+curl -X POST http://localhost:5000/api/v1/dataset/upload \
+  -F "file=@sample-qa.tsv"
+```
+
+**Example using JavaScript (Fetch API):**
+
+```javascript
+const formData = new FormData();
+formData.append('file', fileInput.files[0]);
+
+fetch('http://localhost:5000/api/v1/dataset/upload', {
+  method: 'POST',
+  body: formData
+})
+  .then(response => response.json())
+  .then(data => console.log(data))
+  .catch(error => console.error('Error:', error));
+```
+
+**Response (Success):**
+
+```json
+{
+  "success": true,
+  "message": "Dataset uploaded and processed successfully (Format: JSON)",
+  "data": [
+    {
+      "question": "What is React?",
+      "answer": "React is a JavaScript library for building user interfaces..."
+    }
+  ]
+}
+```
+
+**Response (Error):**
+
+```json
+{
+  "success": false,
+  "message": "No file uploaded",
+  "error": null
+}
+```
+
+#### 2. Get Supported Formats
+
+**Endpoint:** `GET /api/v1/dataset/formats`
+
+**Description:** Get list of all supported file formats
+
+**Example:**
+
+```bash
+curl http://localhost:5000/api/v1/dataset/formats
+```
+
+**Response:**
+
+```json
+{
+  "success": true,
+  "message": "Supported file formats",
+  "data": {
+    "formats": ["csv", "xlsx", "tsv", "json", "pdf", "txt"],
+    "description": {
+      "csv": "Comma-separated values file",
+      "xlsx": "Excel spreadsheet (not yet fully supported)",
+      "tsv": "Tab-separated values file",
+      "json": "JSON file with Q&A pairs",
+      "pdf": "PDF document",
+      "txt": "Plain text file"
+    }
+  }
+}
+```
+
+## 📋 File Format Requirements
+
+### CSV Format
+
+```csv
+question,answer
+"What is AI?","Artificial intelligence is..."
+```
+
+### JSON Format
+
+```json
+[
+  {
+    "question": "What is AI?",
+    "answer": "Artificial intelligence is..."
+  }
+]
+```
+
+### TXT Format
+
+```text
+Q: What is AI?
+A: Artificial intelligence is...
+
+Q: What is ML?
+A: Machine learning is...
+```
+
+### TSV Format
+
+```tsv
+question	answer
+What is AI?	Artificial intelligence is...
+```
+
+### PDF Format
+
+Any standard PDF document. The text will be extracted and processed.
+
+## 🔒 Validation Rules
+
+- **Maximum file size:** 10MB
+- **Minimum file size:** Must not be empty
+- **Allowed extensions:** `.csv`, `.pdf`, `.txt`, `.json`, `.tsv`
+- **Allowed MIME types:**
+  - `text/csv`
+  - `application/pdf`
+  - `text/plain`
+  - `application/json`
+  - `text/tab-separated-values`
+
+## 🧪 Testing
+
+### Manual Testing
+
+1. Start the backend server:
+```bash
+cd LocalMind-Backend
+npm run dev
+```
+
+2. Test with sample files:
+```bash
+# From the test-samples directory
+cd src/api/v1/DataSet/v1/test-samples
+
+# Test CSV
+curl -X POST http://localhost:5000/api/v1/dataset/upload \
+  -F "file=@sample-qa.csv"
+
+# Test JSON
+curl -X POST http://localhost:5000/api/v1/dataset/upload \
+  -F "file=@sample-qa.json"
+
+# Test TXT
+curl -X POST http://localhost:5000/api/v1/dataset/upload \
+  -F "file=@sample-qa.txt"
+
+# Test TSV
+curl -X POST http://localhost:5000/api/v1/dataset/upload \
+  -F "file=@sample-qa.tsv"
+```
+
+### Using Postman
+
+1. Open Postman
+2. Create a new POST request to `http://localhost:5000/api/v1/dataset/upload`
+3. Go to Body → form-data
+4. Add key `file` with type `File`
+5. Choose a file from test-samples
+6. Send the request
+
+## 🛠️ Code Structure
+
+### FileLoaderUtils Class
+
+Handles loading different file formats:
+
+```typescript
+class FileLoaderUtils {
+  detectFileFormat(filename: string, mimeType?: string): FileFormat | null
+  loadFile(filePath: string, format: FileFormat): Promise<Document[]>
+  getFileMetadata(filePath: string): UploadedFileMetadata
+}
+```
+
+### DataSetValidator Class
+
+Validates uploaded files:
+
+```typescript
+class DataSetValidator {
+  validateFileUpload(req, res, next): void
+  validateFileFormat(req, res, next): void
+}
+```
+
+### Updated DataSetController
+
+```typescript
+class DataSetController {
+  uploadDataSet(req, res): Promise<void>  // Updated with multi-format support
+  getSupportedFormats(req, res): Promise<void>  // New endpoint
+}
+```
+
+## 🚨 Error Handling
+
+The system handles various error scenarios:
+
+- **No file uploaded:** Returns 400 error
+- **File too large:** Returns 400 error with size limit info
+- **Invalid file type:** Returns 400 error with allowed types
+- **Empty file:** Returns 400 error
+- **File processing error:** Returns 500 error with details
+- **File upload cleanup:** Automatically removes uploaded files after processing or on error
+
+## 🔄 Migration Notes
+
+### Breaking Changes
+
+- **Route change:** The upload endpoint changed from `GET /upload` to `POST /upload`
+- **File upload required:** Now requires file upload via multipart/form-data instead of hardcoded file path
+
+### Backward Compatibility
+
+The old CSV functionality is fully preserved and enhanced with new formats.
+
+## 📈 Future Enhancements
+
+- [ ] Full Excel (.xlsx) support with xlsx library
+- [ ] Support for Word documents (.docx)
+- [ ] Support for markdown files (.md)
+- [ ] Batch file upload
+- [ ] File preview before processing
+- [ ] Progress tracking for large files
+- [ ] Database storage for uploaded datasets
+- [ ] Dataset versioning
+- [ ] Export processed data
+
+## 🤝 Contributing
+
+To contribute to this feature:
+
+1. Follow the branch naming convention: `username-feature-name`
+2. Test all file formats before submitting PR
+3. Update documentation if adding new formats
+4. Ensure TypeScript types are properly defined
+5. Add error handling for edge cases
+
+## 📝 License
+
+This feature is part of LocalMind and follows the same license (MIT).
+
+## 👤 Author
+
+- **GitHub:** @yash12991
+- **Branch:** `yash12991-add-pdf-txt-json-rag-support`
+- **Feature:** RAG Multi-Format File Upload Support
+
+## 📞 Support
+
+For issues or questions:
+- Open an issue on GitHub
+- Check existing documentation
+- Review test samples for format examples
diff --git a/LocalMind-Backend/src/api/v1/DataSet/v1/test-samples/sample-qa.csv b/LocalMind-Backend/src/api/v1/DataSet/v1/test-samples/sample-qa.csv
new file mode 100644
index 0000000..8e5676b
--- /dev/null
+++ b/LocalMind-Backend/src/api/v1/DataSet/v1/test-samples/sample-qa.csv
@@ -0,0 +1,6 @@
+question,answer
+"What is artificial intelligence?","Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems."
+"What is machine learning?","Machine learning is a subset of AI that enables systems to learn and improve from experience without being explicitly programmed."
+"What is deep learning?","Deep learning is a subset of machine learning that uses neural networks with multiple layers to analyze various factors of data."
+"What is natural language processing?","Natural language processing (NLP) is a branch of AI that helps computers understand, interpret, and manipulate human language."
+"What is computer vision?","Computer vision is a field of AI that trains computers to interpret and understand the visual world from digital images or videos."
diff --git a/LocalMind-Backend/src/api/v1/DataSet/v1/test-samples/sample-qa.json b/LocalMind-Backend/src/api/v1/DataSet/v1/test-samples/sample-qa.json
new file mode 100644
index 0000000..af22ccc
--- /dev/null
+++ b/LocalMind-Backend/src/api/v1/DataSet/v1/test-samples/sample-qa.json
@@ -0,0 +1,22 @@
+[
+  {
+    "question": "What is React?",
+    "answer": "React is a JavaScript library for building user interfaces, developed by Facebook."
+  },
+  {
+    "question": "What is Node.js?",
+    "answer": "Node.js is a JavaScript runtime built on Chrome's V8 JavaScript engine that allows you to run JavaScript on the server."
+  },
+  {
+    "question": "What is TypeScript?",
+    "answer": "TypeScript is a typed superset of JavaScript that compiles to plain JavaScript, adding optional static typing."
+  },
+  {
+    "question": "What is MongoDB?",
+    "answer": "MongoDB is a NoSQL database that stores data in flexible, JSON-like documents."
+  },
+  {
+    "question": "What is Express.js?",
+    "answer": "Express.js is a minimal and flexible Node.js web application framework that provides robust features for web and mobile applications."
+  }
+]
diff --git a/LocalMind-Backend/src/api/v1/DataSet/v1/test-samples/sample-qa.tsv b/LocalMind-Backend/src/api/v1/DataSet/v1/test-samples/sample-qa.tsv
new file mode 100644
index 0000000..74d115f
--- /dev/null
+++ b/LocalMind-Backend/src/api/v1/DataSet/v1/test-samples/sample-qa.tsv
@@ -0,0 +1,6 @@
+question	answer
+What is Python?	Python is a high-level, interpreted programming language known for its simplicity and readability.
+What is Java?	Java is a class-based, object-oriented programming language designed to have as few implementation dependencies as possible.
+What is C++?	C++ is a general-purpose programming language created as an extension of C with object-oriented features.
+What is JavaScript?	JavaScript is a high-level, interpreted programming language that is one of the core technologies of the World Wide Web.
+What is Go?	Go (or Golang) is a statically typed, compiled programming language designed at Google for building scalable systems.
diff --git a/LocalMind-Backend/src/api/v1/DataSet/v1/test-samples/sample-qa.txt b/LocalMind-Backend/src/api/v1/DataSet/v1/test-samples/sample-qa.txt
new file mode 100644
index 0000000..e3e306c
--- /dev/null
+++ b/LocalMind-Backend/src/api/v1/DataSet/v1/test-samples/sample-qa.txt
@@ -0,0 +1,14 @@
+Q: What is Docker?
+A: Docker is a platform that uses containerization to make it easier to create, deploy, and run applications by using containers.
+
+Q: What is Kubernetes?
+A: Kubernetes is an open-source container orchestration platform that automates deploying, scaling, and managing containerized applications.
+
+Q: What is Git?
+A: Git is a distributed version control system for tracking changes in source code during software development.
+
+Q: What is REST API?
+A: REST (Representational State Transfer) API is an architectural style for designing networked applications using HTTP requests to access and manipulate data.
+
+Q: What is GraphQL?
+A: GraphQL is a query language for APIs and a runtime for executing those queries with your existing data.