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Merge pull request #5 from kmgowda/kmg-release-2026-2-1
Add the RAG pipeline and chatbot Signed-off-by: Keshava Munegowda <keshava.gowda@gmail.com>
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README.md

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@@ -142,7 +142,7 @@ pip install -e .
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# Build the sbk-charts package
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python -m build
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```
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```ch
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To deactivate
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install_rag_deps.py

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#!/usr/bin/python3
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# Copyright (c) KMG. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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##
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"""
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Installation script for SBK RAG dependencies.
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This script helps install the required dependencies for the RAG pipeline,
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handling Apple Silicon compatibility issues with ChromaDB.
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"""
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import subprocess
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import sys
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import platform
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def run_command(command, description):
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"""Run a command and handle errors."""
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print(f"\n📦 {description}")
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print(f"Running: {command}")
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try:
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result = subprocess.run(command, shell=True, check=True, capture_output=True, text=True)
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print("✅ Success!")
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if result.stdout:
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print(f"Output: {result.stdout.strip()}")
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return True
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except subprocess.CalledProcessError as e:
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print(f"❌ Failed with error: {e}")
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if e.stderr:
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print(f"Error output: {e.stderr.strip()}")
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return False
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def check_apple_silicon():
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"""Check if running on Apple Silicon."""
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system = platform.system()
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machine = platform.machine()
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if system == "Darwin" and machine in ("arm64", "arm64e"):
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print("🍎 Detected Apple Silicon (M1/M2/M3) Mac")
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return True
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return False
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def install_dependencies():
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"""Install RAG dependencies with compatibility handling."""
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print("🚀 Installing SBK RAG Dependencies")
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print("=" * 50)
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is_apple_silicon = check_apple_silicon()
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# Basic dependencies that should work everywhere
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basic_deps = [
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"pandas>=2.2.3",
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"sentence-transformers>=3.0.1"
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]
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# Install basic dependencies first
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for dep in basic_deps:
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run_command(f"pip install \"{dep}\"", f"Installing {dep}")
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print("\n🔧 RAG Setup Information:")
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print("✅ Basic RAG dependencies installed")
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print("💡 Simple RAG will be used (ChromaDB-free)")
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print("🎯 This provides maximum compatibility across all systems")
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if is_apple_silicon:
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print("\n🍎 Apple Silicon detected:")
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print(" • Simple RAG works perfectly on Apple Silicon")
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print(" • No problematic dependencies required")
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print(" • Full RAG functionality available")
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# Optional: Try ChromaDB as advanced feature (not required)
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print("\n🔍 Optional: Attempting ChromaDB installation (advanced feature)...")
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chroma_success = False
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if is_apple_silicon:
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# Try various approaches for Apple Silicon
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approaches = [
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("pip install onnxruntime-silicon", "Installing onnxruntime-silicon"),
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("pip install onnxruntime", "Installing standard onnxruntime"),
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]
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for cmd, desc in approaches:
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if run_command(cmd, desc):
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if run_command("pip install \"chromadb>=1.4.1,<1.5.0\"", "Installing ChromaDB"):
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chroma_success = True
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break
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else:
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# Standard approach for other systems
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if run_command("pip install \"chromadb>=1.4.1,<1.5.0\"", "Installing ChromaDB"):
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chroma_success = True
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if chroma_success:
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print("🎉 ChromaDB installed successfully! Enhanced RAG features available.")
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else:
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print("⚠️ ChromaDB not available (this is normal)")
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print(" • Simple RAG provides full functionality without ChromaDB")
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print(" • No features are missing - just using keyword search instead")
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print("\n" + "=" * 50)
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print("📊 Installation Summary")
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print("✅ Basic RAG dependencies: INSTALLED")
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print(f"{'✅' if chroma_success else '⚠️'} ChromaDB: {'AVAILABLE' if chroma_success else 'NOT AVAILABLE (using Simple RAG)'}")
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print("\n🎉 Installation completed successfully!")
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print("\n📋 What you get:")
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print("• ✅ CSV data ingestion")
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print("• ✅ Context retrieval for AI prompts")
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print("• ✅ RAG-enhanced analysis")
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print(f"• {'✅' if chroma_success else '✅'} Vector search" + (": ENABLED" if chroma_success else ": Using keyword-based search"))
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print("• ✅ Full compatibility with your system")
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print("\n🚀 Ready to use! Run your SBK analysis with CSV files.")
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if __name__ == "__main__":
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install_dependencies()

requirements.txt

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torch~=2.9.1
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transformers~=4.57.3
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accelerate>=0.20.0 # Required for model parallelism and memory optimization
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sentence-transformers~=3.0.1 # For text embeddings in RAG (if needed)
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# Note: ChromaDB and onnxruntime are optional - system will use Simple RAG if not available
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anthropic~=0.77.1
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# Google Gemini integration uses google-genai Python package
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google-genai~=1.62.0

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