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✅ Changes Made to Your RAG Project

1. 🤖 Updated to gemini-2.5-flash

All references to gemini-pro have been updated to gemini-2.5-flash throughout the project:

Files Updated:

  • ✅ src/config/config.py - Updated model name in config
  • ✅ src/rag/rag_chain.py - Updated LLM initialization + removed deprecated parameter
  • ✅ .env.template - Added GOOGLE_MODEL_NAME parameter
  • ✅ QUICKSTART.md - Updated documentation
  • ✅ DOCUMENTATION.md - Updated technical docs
  • ✅ INDEX.md - Updated navigation guide
  • ✅ COMPLETION_REPORT.md - Updated final report

What Changed:

# Before
GOOGLE_MODEL_NAME: str = "gemini-pro"
self.llm = ChatGoogleGenerativeAI(
    model=Config.GOOGLE_MODEL_NAME,
    google_api_key=Config.GOOGLE_API_KEY,
    temperature=0.7,
    top_p=0.95,
    top_k=40,
    convert_system_message_to_human=True  # ← Removed (deprecated)
)

# After
GOOGLE_MODEL_NAME: str = "gemini-2.5-flash"
self.llm = ChatGoogleGenerativeAI(
    model=Config.GOOGLE_MODEL_NAME,
    google_api_key=Config.GOOGLE_API_KEY,
    temperature=0.7,
    top_p=0.95,
    top_k=40
)

Benefits of gemini-2.5-flash:

  • ⚡ Faster response times
  • 💰 More cost-effective
  • 🎯 Better performance for RAG tasks
  • 🔄 Lower latency
  • 📊 Improved context understanding

2. 🔐 How to Get PINECONE_ENVIRONMENT

Since you already have PINECONE_API_KEY, here's how to find the environment:

Quick Steps:

  1. Go to https://app.pinecone.io
  2. Sign in with your account
  3. Look at your Projects or Environments section
  4. Find your environment name (e.g., us-east-1, eu-west-1, etc.)
  5. Copy it to your .env file

See PINECONE_SETUP.md

A comprehensive guide has been created: PINECONE_SETUP.md

It includes:

  • 📍 Step-by-step console navigation
  • 🌍 Common environment names
  • ⚠️ Troubleshooting tips
  • 🔐 Security best practices

📝 Your .env Template Now Includes:

# Google Gemini API Configuration
GOOGLE_API_KEY=your_google_api_key_here
GOOGLE_MODEL_NAME=gemini-2.5-flash          ← NEW!

# Pinecone Configuration
PINECONE_API_KEY=pcsk_2VBd5V_JQSWvFQ3h84JfpcN8v14SkbgrWZNTc7dea9jdec6asb8mwewSM61CLTuhHLcvxm
PINECONE_ENVIRONMENT=your_pinecone_environment_here  ← NEED THIS
PINECONE_INDEX_NAME=rag-documents-index

🚀 Next Steps:

  1. Get your PINECONE_ENVIRONMENT

  2. Update .env file

    cp .env.template .env

    Then edit with:

    • GOOGLE_API_KEY=sk-...your_key...
    • PINECONE_API_KEY=pcsk_...your_key... (already set)
    • PINECONE_ENVIRONMENT=us-east-1 (or your environment)

  3. Verify configuration

    python -c "from src.config import Config; Config.validate(); print('✓ OK')"

  4. Initialize Pinecone

    python main.py init

  5. Start the app

    streamlit run app.py

📚 Documentation:

✨ Summary:

✅ Updated all code to use gemini-2.5-flash
✅ Removed deprecated parameter from LLM initialization
✅ Created PINECONE_SETUP.md with complete guide
✅ Updated .env.template with new model name
✅ Updated all documentation

Your project is ready to use! Just get your PINECONE_ENVIRONMENT and you're all set! 🎉