Add local Q&A CLI MVP for markdown notes

.gitignore

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+notes/

smart-notes/rag_mvp/README.md

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+# Smart Notes – Local Q&A (RAG MVP)
+
+This is a minimal, local-first MVP that allows users to ask natural-language questions over their markdown notes.
+
+## Features (Current MVP)
+
+- Loads markdown files from a local `notes/` directory
+- Supports natural-language questions (e.g., "what is AI", "where is AI used")
+- Returns sentence-level answers from notes
+- Shows the source note filename
+- Interactive CLI loop (type `exit` to quit)
+
+This is a starter implementation intended to be extended with embeddings and vector search in future iterations.
+
+---
+
+## How it works
+
+1. Notes are loaded from the local `notes/` directory.
+2. Question words (what, where, who, when, etc.) are filtered.
+3. Notes are split into sentences.
+4. Relevant sentences are returned based on keyword matching.
+
+---
+
+## How to run
+
+```bash
+python smart-notes/rag_mvp/qa_cli.py
+
+
+
+>> what is AI
+
+[1] From test.md:
+Artificial Intelligence (AI) is the simulation of human intelligence in machines.
+
+
+>>  what is machine learning
+how is machine learning used
+difference between AI and ML
+

smart-notes/rag_mvp/qa_cli.py

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+import os
+import re
+
+QUESTION_WORDS = {
+    "what", "where", "who", "when", "which",
+    "is", "are", "was", "were", "the", "a", "an",
+    "of", "to", "in", "on", "for"
+}
+
+NOTES_DIR = "notes"
+
+
+def load_notes():
+    notes = []
+    if not os.path.exists(NOTES_DIR):
+        print(f"Notes directory '{NOTES_DIR}' not found.")
+        return notes
+
+    for file in os.listdir(NOTES_DIR):
+        if file.endswith(".md"):
+            path = os.path.join(NOTES_DIR, file)
+            with open(path, "r", encoding="utf-8") as f:
+                notes.append({
+                    "filename": file,
+                    "content": f.read()
+                })
+    return notes
+
+
+def split_sentences(text):
+    return re.split(r'(?<=[.!?])\s+', text)
+
+
+def search_notes(query, notes):
+    results = []
+
+    query_words = [
+        word.lower()
+        for word in query.split()
+        if word.lower() not in QUESTION_WORDS
+    ]
+
+    for note in notes:
+        sentences = split_sentences(note["content"])
+        for sentence in sentences:
+            sentence_lower = sentence.lower()
+            if any(word in sentence_lower for word in query_words):
+                results.append({
+                    "filename": note["filename"],
+                    "sentence": sentence.strip()
+                })
+
+    return results
+
+
+if __name__ == "__main__":
+    notes = load_notes()
+
+    print("Ask questions about your notes (type 'exit' to quit)\n")
+
+    while True:
+        query = input(">> ").strip()
+
+        if query.lower() == "exit":
+            print("Goodbye 👋")
+            break
+
+        matches = search_notes(query, notes)
+
+        if not matches:
+            print("No relevant notes found.\n")
+        else:
+            print("\n--- Answers ---\n")
+            for i, m in enumerate(matches, 1):
+                print(f"[{i}] From {m['filename']}:")
+                print(m["sentence"])
+                print()