Скачать или смотреть How to Build an AI App with RAG in Python | Setup Project in PyCharm + API Keys + Tools | Part2

Our RAG Empowered AI App Series – In this tutorial, we’ll walk you through the complete project setup in PyCharm for building an AI application using RAG (Retrieval-Augmented Generation) with Python.

🔗 Code Repository: https://github.com/vardhmanandroid201...
🔧 In This Video You’ll Learn:
1. How to get and use your Google Gemini API key and PineconeDB API key
2. How to install Python and set up a virtual environment
3. Tools overview: Streamlit, Pinecone, LangChain, Langchain Google GenAI Models library, Langchain PineCone library
4. Installing all required python libraries streamlit pinecone langchain-pinecone langchain langchain-google-genai python-dotenv
5. How to configure your .env file securely

Install all required packages using pip install 📁 Tools & Libraries Covered:
1. Streamlit for UI
2. Pinecone for Vector Database
3. LangChain for RAG logic, Pinecone Integration for Retrieval & Augment Query along Prompt creation
4. Langchain Integration to Google GenAI Models API for LLMs

💡 By the end of this video, you’ll have a fully set up development environment ready to build powerful GenAI apps!

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