diff --git a/pdf-rag-app/.vs/VSWorkspaceState.json b/pdf-rag-app/.vs/VSWorkspaceState.json
new file mode 100644
index 000000000..6b6114114
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+++ b/pdf-rag-app/.vs/VSWorkspaceState.json
@@ -0,0 +1,6 @@
+{
+  "ExpandedNodes": [
+    ""
+  ],
+  "PreviewInSolutionExplorer": false
+}
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diff --git a/pdf-rag-app/.vs/pdf-rag-app.slnx/FileContentIndex/14838a78-2f2b-4413-9d26-ac68b170f145.vsidx b/pdf-rag-app/.vs/pdf-rag-app.slnx/FileContentIndex/14838a78-2f2b-4413-9d26-ac68b170f145.vsidx
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diff --git a/pdf-rag-app/.vs/pdf-rag-app.slnx/v18/.wsuo b/pdf-rag-app/.vs/pdf-rag-app.slnx/v18/.wsuo
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diff --git a/pdf-rag-app/.vs/pdf-rag-app.slnx/v18/DocumentLayout.json b/pdf-rag-app/.vs/pdf-rag-app.slnx/v18/DocumentLayout.json
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index 000000000..cc06d3299
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+++ b/pdf-rag-app/.vs/pdf-rag-app.slnx/v18/DocumentLayout.json
@@ -0,0 +1,12 @@
+{
+  "Version": 1,
+  "WorkspaceRootPath": "C:\\Users\\anand\\endee\\pdf-rag-app\\",
+  "Documents": [],
+  "DocumentGroupContainers": [
+    {
+      "Orientation": 0,
+      "VerticalTabListWidth": 256,
+      "DocumentGroups": []
+    }
+  ]
+}
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diff --git a/pdf-rag-app/.vs/slnx.sqlite b/pdf-rag-app/.vs/slnx.sqlite
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diff --git a/pdf-rag-app/__pycache__/main.cpython-313.pyc b/pdf-rag-app/__pycache__/main.cpython-313.pyc
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diff --git a/pdf-rag-app/main.py b/pdf-rag-app/main.py
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index 000000000..f7b87f38d
--- /dev/null
+++ b/pdf-rag-app/main.py
@@ -0,0 +1,54 @@
+from fastapi import FastAPI, UploadFile
+import shutil
+import os
+
+# Gemini
+import google.generativeai as genai
+
+# PDF Reader
+from pypdf import PdfReader
+
+# Load API key
+from dotenv import load_dotenv
+load_dotenv()
+
+genai.configure(api_key=os.getenv("GEMINI_API_KEY"))
+model = genai.GenerativeModel("gemini-pro")
+
+app = FastAPI()
+
+# simple memory storage
+PDF_TEXT = ""
+
+@app.post("/upload/")
+async def upload_pdf(file: UploadFile):
+    global PDF_TEXT
+
+    with open(file.filename, "wb") as buffer:
+        shutil.copyfileobj(file.file, buffer)
+
+    reader = PdfReader(file.filename)
+    text = ""
+
+    for page in reader.pages:
+        text += page.extract_text()
+
+    PDF_TEXT = text
+
+    return {"message": "PDF uploaded and processed"}
+
+@app.get("/ask/")
+def ask_question(query: str):
+    global PDF_TEXT
+
+    prompt = f"""
+    Answer the question based on this PDF content:
+
+    {PDF_TEXT[:3000]}
+
+    Question: {query}
+    """
+
+    response = model.generate_content(prompt)
+
+    return {"answer": response.text}
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diff --git a/pdf-rag-app/python b/pdf-rag-app/python
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index 000000000..e69de29bb