Building Intelligent Chatbots

This repository demonstrates how to build chatbots with different levels of memory capabilities using LangChain, Pinecone, and Streamlit. The project shows the evolution from a stateless chatbot to one with permanent memory storage.

🌟 Features

• Three levels of chatbot implementation:
  • Level 1: Stateless bot (No Memory) 🐠
  • Level 2: Temporary memory using session state 🐹
  • Level 3: Permanent memory using Pinecone vector storage 🐘
• Clean, modular code structure
• Built with modern AI tools and frameworks
• Complete with error handling and best practices

🛠️ Prerequisites

Before you begin, ensure you have:

• Python 3.9 or higher
• API keys for:
  • Pinecone
  • OpenAI (for embeddings)
  • Groq (for LLM)

🚀 Getting Started

1. Clone the Repository

git clone https://github.com/spandan114/building-intelligent-chatbots.git
cd building-intelligent-chatbots

2. Set Up Virtual Environment

On Windows:

# Create virtual environment
python -m venv chatbotenv

# Activate virtual environment
chatbotenv\Scripts\activate

On macOS/Linux:

# Create virtual environment
python -m venv chatbotenv

# Activate virtual environment
source chatbotenv/bin/activate

3. Install Dependencies

pip install -r requirements.txt

4. Configure Environment Variables

Create a .env file in the project root:

PINECONE_API_KEY=your_pinecone_api_key_here
OPENAI_API_KEY=your_openai_api_key_here
GROQ_API_KEY=your_groq_api_key_here

5. Set Up Pinecone

1. Create a Pinecone account at pinecone.io
2. Create a new index with:
   • Name: chat-memory
   • Dimensions: 1536 (for OpenAI embeddings)
   • Metric: cosine

6. Run the Application

streamlit run app.py

The application will be available at http://localhost:8501

7. Deactivate Virtual Environment When Done

deactivate

📁 Project Structure

building-intelligent-chatbots/
├── bot_with_pinecone_memory.py  # Main application with Pinecone 
├── bot_without_memory.py         # Basic bot implementation
├── bot_with_temporary_memory.py # Bot with session state memory
├── requirements.txt           # Project dependencies
├── .env                      # Environment variables (create this)
└── README.md                 # This file

🔧 Available Implementations

1. Basic Bot (bot_without_memory.py):

   streamlit run bot_without_memory.py

2. Temporary Memory Bot (bot_with_temporary_memory.py):

   streamlit run bot_with_temporary_memory.py

3. Permanent Memory Bot (bot_with_pinecone_memory.py):

   streamlit run bot_with_pinecone_memory.py

📝 Requirements

langchain
langchain-groq
langchain-pinecone
langchain-huggingface
langchain-postgres
langchain-community
langchain-core
streamlit
python-dotenv
pinecone-client
psycopg2-binary
sentence-transformers
openai
tiktoken

🐛 Troubleshooting

1. ModuleNotFoundError:

   • Ensure your virtual environment is activated
   • Verify all dependencies are installed: pip install -r requirements.txt

2. API Key Errors:

   • Check if your .env file exists and contains valid API keys
   • Ensure the API keys have proper permissions

3. Pinecone Errors:

   • Verify your index is created with correct specifications
   • Check if your API key has the necessary permissions

👏 Acknowledgments

• LangChain for the amazing framework
• Pinecone for vector storage capabilities
• Streamlit for the web interface

✨ Star the Repository

If you found this project helpful, please consider giving it a star! It helps others discover the project and motivates us to create more content.

📧 Contact

For questions and feedback, please open an issue in the GitHub repository.

Happy coding! 🚀