diff --git a/package-lock.json b/package-lock.json
index 95feb3f..033d382 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -1,21 +1,23 @@
 {
   "name": "LLocal",
-  "version": "1.0.0-beta.6",
+  "version": "1.0.0-beta.7",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "LLocal",
-      "version": "1.0.0-beta.6",
+      "version": "1.0.0-beta.7",
       "hasInstallScript": true,
       "license": "MIT",
       "dependencies": {
         "@electron-toolkit/preload": "^3.0.0",
         "@electron-toolkit/utils": "^3.0.0",
         "@hookform/resolvers": "^3.6.0",
+        "@huggingface/transformers": "^3.0.0-alpha.17",
         "@langchain/community": "^0.2.25",
         "@swc/core": "^1.5.7",
         "@types/react-syntax-highlighter": "^15.5.13",
+        "@xenova/transformers": "^2.17.2",
         "axios": "^1.6.8",
         "cheerio": "^1.0.0-rc.12",
         "cheminfo-types": "^1.7.3",
@@ -23,6 +25,7 @@
         "clsx": "^2.1.1",
         "d3-dsv": "^2.0.0",
         "duck-duck-scrape": "^2.2.5",
+        "electron": "^32.1.2",
         "electron-updater": "^6.1.7",
         "faiss-node": "^0.5.1",
         "install": "^0.13.0",
@@ -61,7 +64,6 @@
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         "@vitejs/plugin-react": "^4.2.1",
         "autoprefixer": "^10.4.19",
-        "electron": "^28.2.0",
         "electron-builder": "^24.9.1",
         "electron-vite": "^2.0.0",
         "eslint": "^8.56.0",
@@ -805,6 +807,15 @@
         "node": ">= 10.0.0"
       }
     },
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+      "resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.2.0.tgz",
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+      "optional": true,
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@@ -1286,6 +1297,25 @@
         "react-hook-form": "^7.0.0"
       }
     },
+    "node_modules/@huggingface/jinja": {
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-      "dev": true,
       "engines": {
         "node": "14 || >=16.14"
       }
@@ -13521,6 +14390,11 @@
         "node": ">= 6"
       }
     },
+    "node_modules/platform": {
+      "version": "1.3.6",
+      "resolved": "https://registry.npmjs.org/platform/-/platform-1.3.6.tgz",
+      "integrity": "sha512-fnWVljUchTro6RiCFvCXBbNhJc2NijN7oIQxbwsyL0buWJPG85v81ehlHI9fXrJsMNgTofEoWIQeClKpgxFLrg=="
+    },
     "node_modules/plist": {
       "version": "3.1.0",
       "resolved": "https://registry.npmjs.org/plist/-/plist-3.1.0.tgz",
@@ -13825,6 +14699,29 @@
         "url": "https://github.com/sponsors/wooorm"
       }
     },
+    "node_modules/protobufjs": {
+      "version": "7.4.0",
+      "resolved": "https://registry.npmjs.org/protobufjs/-/protobufjs-7.4.0.tgz",
+      "integrity": "sha512-mRUWCc3KUU4w1jU8sGxICXH/gNS94DvI1gxqDvBzhj1JpcsimQkYiOJfwsPUykUI5ZaspFbSgmBLER8IrQ3tqw==",
+      "hasInstallScript": true,
+      "dependencies": {
+        "@protobufjs/aspromise": "^1.1.2",
+        "@protobufjs/base64": "^1.1.2",
+        "@protobufjs/codegen": "^2.0.4",
+        "@protobufjs/eventemitter": "^1.1.0",
+        "@protobufjs/fetch": "^1.1.0",
+        "@protobufjs/float": "^1.0.2",
+        "@protobufjs/inquire": "^1.1.0",
+        "@protobufjs/path": "^1.1.2",
+        "@protobufjs/pool": "^1.1.0",
+        "@protobufjs/utf8": "^1.1.0",
+        "@types/node": ">=13.7.0",
+        "long": "^5.0.0"
+      },
+      "engines": {
+        "node": ">=12.0.0"
+      }
+    },
     "node_modules/proxy-from-env": {
       "version": "1.1.0",
       "resolved": "https://registry.npmjs.org/proxy-from-env/-/proxy-from-env-1.1.0.tgz",
@@ -13935,6 +14832,11 @@
         }
       ]
     },
+    "node_modules/queue-tick": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/queue-tick/-/queue-tick-1.0.1.tgz",
+      "integrity": "sha512-kJt5qhMxoszgU/62PLP1CJytzd2NKetjSRnyuj31fDd3Rlcz3fzlFdFLD1SItunPwyqEOkca6GbV612BWfaBag=="
+    },
     "node_modules/quick-lru": {
       "version": "5.1.1",
       "resolved": "https://registry.npmjs.org/quick-lru/-/quick-lru-5.1.1.tgz",
@@ -14783,6 +15685,44 @@
       "integrity": "sha512-MATJdZp8sLqDl/68LfQmbP8zKPLQNV6BIZoIgrscFDQ+RsvK/BxeDQOgyxKKoh0y/8h3BqVFnCqQ/gd+reiIXA==",
       "license": "MIT"
     },
+    "node_modules/sharp": {
+      "version": "0.33.5",
+      "resolved": "https://registry.npmjs.org/sharp/-/sharp-0.33.5.tgz",
+      "integrity": "sha512-haPVm1EkS9pgvHrQ/F3Xy+hgcuMV0Wm9vfIBSiwZ05k+xgb0PkBQpGsAA/oWdDobNaZTH5ppvHtzCFbnSEwHVw==",
+      "hasInstallScript": true,
+      "dependencies": {
+        "color": "^4.2.3",
+        "detect-libc": "^2.0.3",
+        "semver": "^7.6.3"
+      },
+      "engines": {
+        "node": "^18.17.0 || ^20.3.0 || >=21.0.0"
+      },
+      "funding": {
+        "url": "https://opencollective.com/libvips"
+      },
+      "optionalDependencies": {
+        "@img/sharp-darwin-arm64": "0.33.5",
+        "@img/sharp-darwin-x64": "0.33.5",
+        "@img/sharp-libvips-darwin-arm64": "1.0.4",
+        "@img/sharp-libvips-darwin-x64": "1.0.4",
+        "@img/sharp-libvips-linux-arm": "1.0.5",
+        "@img/sharp-libvips-linux-arm64": "1.0.4",
+        "@img/sharp-libvips-linux-s390x": "1.0.4",
+        "@img/sharp-libvips-linux-x64": "1.0.4",
+        "@img/sharp-libvips-linuxmusl-arm64": "1.0.4",
+        "@img/sharp-libvips-linuxmusl-x64": "1.0.4",
+        "@img/sharp-linux-arm": "0.33.5",
+        "@img/sharp-linux-arm64": "0.33.5",
+        "@img/sharp-linux-s390x": "0.33.5",
+        "@img/sharp-linux-x64": "0.33.5",
+        "@img/sharp-linuxmusl-arm64": "0.33.5",
+        "@img/sharp-linuxmusl-x64": "0.33.5",
+        "@img/sharp-wasm32": "0.33.5",
+        "@img/sharp-win32-ia32": "0.33.5",
+        "@img/sharp-win32-x64": "0.33.5"
+      }
+    },
     "node_modules/shebang-command": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
@@ -14879,7 +15819,6 @@
       "version": "4.1.0",
       "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-4.1.0.tgz",
       "integrity": "sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==",
-      "dev": true,
       "engines": {
         "node": ">=14"
       },
@@ -14932,6 +15871,19 @@
         "simple-concat": "^1.0.0"
       }
     },
+    "node_modules/simple-swizzle": {
+      "version": "0.2.2",
+      "resolved": "https://registry.npmjs.org/simple-swizzle/-/simple-swizzle-0.2.2.tgz",
+      "integrity": "sha512-JA//kQgZtbuY83m+xT+tXJkmJncGMTFT+C+g2h2R9uxkYIrE2yy9sgmcLhCnw57/WSD+Eh3J97FPEDFnbXnDUg==",
+      "dependencies": {
+        "is-arrayish": "^0.3.1"
+      }
+    },
+    "node_modules/simple-swizzle/node_modules/is-arrayish": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/is-arrayish/-/is-arrayish-0.3.2.tgz",
+      "integrity": "sha512-eVRqCvVlZbuw3GrM63ovNSNAeA1K16kaR/LRY/92w0zxQ5/1YzwblUX652i4Xs9RwAGjW9d9y6X88t8OaAJfWQ=="
+    },
     "node_modules/simple-update-notifier": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/simple-update-notifier/-/simple-update-notifier-2.0.0.tgz",
@@ -15076,6 +16028,19 @@
         "node": ">= 6"
       }
     },
+    "node_modules/streamx": {
+      "version": "2.20.1",
+      "resolved": "https://registry.npmjs.org/streamx/-/streamx-2.20.1.tgz",
+      "integrity": "sha512-uTa0mU6WUC65iUvzKH4X9hEdvSW7rbPxPtwfWiLMSj3qTdQbAiUboZTxauKfpFuGIGa1C2BYijZ7wgdUXICJhA==",
+      "dependencies": {
+        "fast-fifo": "^1.3.2",
+        "queue-tick": "^1.0.1",
+        "text-decoder": "^1.1.0"
+      },
+      "optionalDependencies": {
+        "bare-events": "^2.2.0"
+      }
+    },
     "node_modules/string_decoder": {
       "version": "1.3.0",
       "resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.3.0.tgz",
@@ -15102,7 +16067,6 @@
       "version": "4.2.3",
       "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
       "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
-      "dev": true,
       "dependencies": {
         "emoji-regex": "^8.0.0",
         "is-fullwidth-code-point": "^3.0.0",
@@ -15216,7 +16180,6 @@
       "version": "6.0.1",
       "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
       "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
-      "dev": true,
       "dependencies": {
         "ansi-regex": "^5.0.1"
       },
@@ -15557,6 +16520,14 @@
         "node": ">= 10.0.0"
       }
     },
+    "node_modules/text-decoder": {
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/text-decoder/-/text-decoder-1.2.0.tgz",
+      "integrity": "sha512-n1yg1mOj9DNpk3NeZOx7T6jchTbyJS3i3cucbNN6FcdPriMZx7NsgrGpWWdWZZGxD7ES1XB+3uoqHMgOKaN+fg==",
+      "dependencies": {
+        "b4a": "^1.6.4"
+      }
+    },
     "node_modules/text-table": {
       "version": "0.2.0",
       "resolved": "https://registry.npmjs.org/text-table/-/text-table-0.2.0.tgz",
@@ -15716,7 +16687,7 @@
       "version": "2.6.2",
       "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.6.2.tgz",
       "integrity": "sha512-AEYxH93jGFPn/a2iVAwW87VuUIkR1FVUKB77NwMF7nBTDkDrrT/Hpt/IrCJ0QXhW27jTBDcf5ZY7w6RiqTMw2Q==",
-      "dev": true
+      "devOptional": true
     },
     "node_modules/tunnel-agent": {
       "version": "0.6.0",
@@ -16706,7 +17677,6 @@
       "version": "7.0.0",
       "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
       "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==",
-      "dev": true,
       "dependencies": {
         "ansi-styles": "^4.0.0",
         "string-width": "^4.1.0",
@@ -16723,7 +17693,6 @@
       "version": "4.3.0",
       "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
       "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
-      "dev": true,
       "dependencies": {
         "color-convert": "^2.0.1"
       },
@@ -16738,7 +17707,6 @@
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
       "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
-      "dev": true,
       "dependencies": {
         "color-name": "~1.1.4"
       },
@@ -16749,8 +17717,7 @@
     "node_modules/wrap-ansi-cjs/node_modules/color-name": {
       "version": "1.1.4",
       "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
-      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
-      "dev": true
+      "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA=="
     },
     "node_modules/wrap-ansi/node_modules/ansi-styles": {
       "version": "4.3.0",
diff --git a/package.json b/package.json
index 1083be4..c9e8426 100644
--- a/package.json
+++ b/package.json
@@ -34,9 +34,11 @@
     "@electron-toolkit/preload": "^3.0.0",
     "@electron-toolkit/utils": "^3.0.0",
     "@hookform/resolvers": "^3.6.0",
+    "@huggingface/transformers": "^3.0.0-alpha.17",
     "@langchain/community": "^0.2.25",
     "@swc/core": "^1.5.7",
     "@types/react-syntax-highlighter": "^15.5.13",
+    "@xenova/transformers": "^2.17.2",
     "axios": "^1.6.8",
     "cheerio": "^1.0.0-rc.12",
     "cheminfo-types": "^1.7.3",
@@ -44,6 +46,7 @@
     "clsx": "^2.1.1",
     "d3-dsv": "^2.0.0",
     "duck-duck-scrape": "^2.2.5",
+    "electron": "^32.1.2",
     "electron-updater": "^6.1.7",
     "faiss-node": "^0.5.1",
     "install": "^0.13.0",
@@ -82,7 +85,6 @@
     "@types/react-dom": "^18.2.18",
     "@vitejs/plugin-react": "^4.2.1",
     "autoprefixer": "^10.4.19",
-    "electron": "^28.2.0",
     "electron-builder": "^24.9.1",
     "electron-vite": "^2.0.0",
     "eslint": "^8.56.0",
diff --git a/src/main/utils/rag-utils.ts b/src/main/utils/rag-utils.ts
index 988d13e..aa1ac9f 100644
--- a/src/main/utils/rag-utils.ts
+++ b/src/main/utils/rag-utils.ts
@@ -1,133 +1,201 @@
 import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama'
 import { Document } from '@langchain/core/documents'
-import { dialog } from 'electron/main'
+import { dialog } from 'electron'
 import { RecursiveCharacterTextSplitter } from 'langchain/text_splitter'
 import { FaissStore } from '@langchain/community/vectorstores/faiss'
 import { readdirSync, rm } from 'fs'
 import path from 'path'
 import { documentsDirectory } from '..'
+// import { AutoModel } from '@huggingface/transformers'
 
-interface getFile {
+interface GetFile {
   canceled: boolean
   filePaths: string[]
 }
 
-export function getFileName(dir: string): string {
-  const fileName = path.basename(dir)
-  return fileName
+interface AddKnowledgeType {
+  path: string
+  fileName: string
 }
 
-// dialog function to get the file name(s)
-export async function getSelectedFiles(): Promise<getFile> {
-  return new Promise((resolve, reject) => {
-    dialog
-      .showOpenDialog({
-        message: 'Choose files to add to the knowledge base',
-        filters: [
-          { name: 'pdf, pptx, docx, txt, csv', extensions: ['pdf', 'pptx', 'docx', 'txt', 'csv'] }
-        ]
-      })
-      .then((filePath): void => {
-        if (filePath.canceled) reject(`The operation has been aborted!`)
-        resolve(filePath)
-      })
+interface RagReturn {
+  prompt: string
+  sources: string
+}
+
+interface ScoredDocument extends Document {
+  score: number;
+}
+
+export const getFileName = (dir: string): string => path.basename(dir)
+
+export const getSelectedFiles = (): Promise<GetFile> => {
+  return dialog.showOpenDialog({
+    message: 'Choose files to add to the knowledge base',
+    filters: [
+      { name: 'pdf, pptx, docx, txt, csv', extensions: ['pdf', 'pptx', 'docx', 'txt', 'csv'] }
+    ]
   })
 }
 
-// Not yet needed
-// export function checkIfDuplicate(fileName: string):boolean{
-//   const exisiting =  getVectorDbList(); // this brings all the available documents
-//   for(let i = 0 ; i < exisiting.length; i++){
-//     if(exisiting[i] == fileName) return false // incase there's already an exisiting index folder we need to do something about it
-//   }
-//   return true; // otherwise, voila!
-// }
-
-// save vector db
-export async function saveVectorDb(docs: Document[], saveDirectory: string): Promise<boolean> {
+export const saveVectorDb = async (docs: Document[], saveDirectory: string): Promise<boolean> => {
   const embeddings = new OllamaEmbeddings({
     baseUrl: 'http://127.0.0.1:11434',
     model: 'all-minilm'
   })
 
-  // defining the chunking strategy
-  const textSplitter = new RecursiveCharacterTextSplitter({
-    chunkSize: 1000,
-    chunkOverlap: 200
-  })
+  const textSplitter = new RecursiveCharacterTextSplitter()
 
   try {
-    const splits = await textSplitter.splitDocuments(docs) // splitting the documents using the chosen chunking strategy
-    /* the format for pdf : {pageContent:, meta:{pageNumber: , lines: {from, to}}} */
+    const splits = await textSplitter.splitDocuments(docs)
     const vectorstore = await FaissStore.fromDocuments(splits, embeddings)
-    // save the vectorestore in an index file
-    vectorstore.save(saveDirectory) // directory name, specify a name specific to pdf's to maintain consistency
+    await vectorstore.save(saveDirectory)
+    return true
   } catch (error) {
+    console.error('Error saving vector database:', error)
     return false
   }
-  return true
 }
 
-// this function gets the list of vector db's generated by faiss
-export function getVectorDbList(): addKnowledgeType[] {
+export const getVectorDbList = (): AddKnowledgeType[] => {
   const dbDirectory = path.join(documentsDirectory, 'LLocal', 'Knowledge Base')
-  const dir = readdirSync(dbDirectory, { withFileTypes: true })
+  return readdirSync(dbDirectory, { withFileTypes: true })
     .filter((dirent) => dirent.isDirectory())
-    .map((dirent) => {
-      return { path: path.join(dbDirectory, dirent.name), fileName: dirent.name }
+    .map((dirent) => ({
+      path: path.join(dbDirectory, dirent.name),
+      fileName: dirent.name
+    }))
+}
+
+const generateSources = (similaritySearch: any[], fileType: string): string => {
+  let sources = '\n Sources: \n'
+  
+  if (fileType === 'pdf') {
+    sources += '| Database | Page Number | From Line |\n |-------|-------|-------| \n'
+    similaritySearch.forEach((val) => {
+      const dbName = val.metadata.dbName || 'Unknown'
+      sources += `| ${dbName} | ${val.metadata.loc.pageNumber} | ${val.metadata.loc.lines.from} to ${val.metadata.loc.lines.to} | \n`
+    })
+  } else if (fileType === 'csv') {
+    sources += '| Database | Line Number |\n|-------|:-------:|\n'
+    similaritySearch.forEach((val) => {
+      const dbName = val.metadata.dbName || 'Unknown'
+      sources += `| ${dbName} | ${val.metadata.line} | \n`
+    })
+  } else {
+    sources += '| Database | From Line |\n |-------|-------| \n'
+    similaritySearch.forEach((val) => {
+      const dbName = val.metadata.dbName || 'Unknown'
+      sources += `| ${dbName} | ${val.metadata.loc.lines.from} to ${val.metadata.loc.lines.to} | \n`
     })
-  return dir
+  }
+
+  return sources
 }
 
-export async function similaritySearch(
+// Optimized reranking function
+export const bm25Rerank = (results: Document[], query: string, k1 = 1.5, b = 0.75): ScoredDocument[] => {
+  const queryTerms = query.toLowerCase().split(/\s+/).filter(term => term.length > 1);
+  const docCount = results.length;
+  const avgDocLength = results.reduce((sum, r) => sum + r.pageContent.length, 0) / docCount;
+  
+  // Pre-compute IDF scores
+  const idfScores = new Map<string, number>();
+  queryTerms.forEach(term => {
+    const docsWithTerm = results.filter(r => r.pageContent.toLowerCase().includes(term)).length;
+    const idf = Math.log((docCount - docsWithTerm + 0.5) / (docsWithTerm + 0.5));
+    idfScores.set(term, idf);
+  });
+
+  // Create a regular expression for efficient term matching
+  const queryRegex = new RegExp(queryTerms.join('|'), 'gi');
+
+  const scoredResults: ScoredDocument[] = results.map(result => {
+    const content = result.pageContent.toLowerCase();
+    const termFrequencies = new Map<string, number>();
+    
+    // Count term frequencies
+    let match;
+    while ((match = queryRegex.exec(content)) !== null) {
+      const term = match[0].toLowerCase();
+      termFrequencies.set(term, (termFrequencies.get(term) || 0) + 1);
+    }
+
+    // Calculate BM25 score
+    let score = 0;
+    queryTerms.forEach(term => {
+      const tf = termFrequencies.get(term) || 0;
+      const idf = idfScores.get(term) || 0;
+      const numerator = tf * (k1 + 1);
+      const denominator = tf + k1 * (1 - b + b * (content.length / avgDocLength));
+      score += idf * (numerator / denominator);
+    });
+
+    return { ...result, score };
+  });
+
+  // Sort by score in descending order
+  return scoredResults.sort((a, b) => b.score - a.score);
+};
+
+export const similaritySearch = async (
   path: string,
   fileType: string,
-  prompt: string // eslint-disable-next-line @typescript-eslint/no-explicit-any
-): Promise<ragReturn> {
+  prompt: string,
+  searchAllDbs: boolean = true
+): Promise<RagReturn> => {
   const embeddings = new OllamaEmbeddings({
     baseUrl: 'http://127.0.0.1:11434',
     model: 'all-minilm'
   })
 
-  const vectorstore = await FaissStore.load(path, embeddings) // load index
-
-  // performing similarity search for getting the context
-  const similaritySearch = await vectorstore.similaritySearch(prompt)
-  let sources = '\n Sources: \n'
+  let allResults: Document[];
 
-  // for pdf
-  if (fileType == 'pdf') {
-    sources += '| Page Number | From Line |\n |-------|-------| \n'
-    similaritySearch.forEach((val) => {
-      sources += `| ${val.metadata.loc.pageNumber} | ${val.metadata.loc.lines.from} to ${val.metadata.loc.lines.to} | \n`
-    })
-  } 
-  else if(fileType == 'csv') {
-    sources += '| Line Number |\n|:-------:|\n'
-    similaritySearch.forEach((val) => {
-      sources += `| ${val.metadata.line} | \n`
-    })
+  if (searchAllDbs) {
+    const vectorDbList = getVectorDbList()
+    allResults = await Promise.all(vectorDbList.map(async (db) => {
+      const vectorstore = await FaissStore.load(db.path, embeddings)
+      const results = await vectorstore.similaritySearch(prompt)
+      return results.map(result => ({
+        ...result,
+        metadata: { ...result.metadata, dbName: db.fileName }
+      }))
+    })).then(results => results.flat())
+  } else {
+    const vectorstore = await FaissStore.load(path, embeddings)
+    allResults = await vectorstore.similaritySearch(prompt)
+    allResults = allResults.map(result => ({
+      ...result,
+      metadata: { ...result.metadata, dbName: getFileName(path) }
+    }))
   }
-  else {
-    sources += '| From Line |\n |-------| \n'
-    similaritySearch.forEach((val) => {
-      sources += `| ${val.metadata.loc.lines.from} to ${val.metadata.loc.lines.to} | \n`
-    })
-  } 
+
+  // Use the optimized BM25 reranking
+  const rerankedResults = bm25Rerank(allResults, prompt)
+
+  const sources = generateSources(rerankedResults, fileType)
 
   return {
-    prompt: `this is my question ${prompt},\n answer only from the following context: \n ${JSON.stringify(similaritySearch)}`,
-    sources: sources
+    prompt: `QUESTION:  ${prompt},\n
+    Answer the question as accurate as possible from the provided context, make sure to provide all the details, if the answer is not in
+    provided context just say, "answer is not available in the context", don't provide the wrong answer: \n 
+    CONTEXT : ${JSON.stringify(rerankedResults)}`,
+    sources
   }
 }
 
-export function deleteVectorDb(indexPath: string): boolean {
-  /* This is so interesting, because we don't need to use a try catch here, 
-  since where we make a call we can use the try catch there this nuance makes javascript so interesting */
-  rm(indexPath, { recursive: true, force: true }, (err) => {
-    if (err) {
-      throw err
-    }
-  })
-  return true
+export const searchAllVectorDbs = async (prompt: string): Promise<RagReturn> => {
+  return similaritySearch('', 'pdf', prompt, true)
 }
+
+export const deleteVectorDb = (indexPath: string): Promise<void> => {
+  return new Promise((resolve, reject) => {
+    rm(indexPath, { recursive: true, force: true }, (err) => {
+      if (err) {
+        reject(err)
+      } else {
+        resolve()
+      }
+    })
+  })
+}
\ No newline at end of file