Chatbot Answering from Your Own Knowledge Base: Langchain, ChatGPT, Pinecone, and Streamlit Deployment 1. Clone Repository git clone https://github.com/farukalampro/ai-chatbot-using-Langchain-Pinecone.git cd ai-chatbot-using-Langchain-Pinecone 2. Create Virtual Environment python -m venv env For Windows: .\env\Scripts\activate For macOS/Linux: source env/bin/activate 3. To install require packages pip install -r requirements.txt 4. Replace your own document in data folder 5. Replace your own OpenAI, Pinecone API Key and Pinecone environment in indexing.py, main.py & utils.py OpenAI API Key Pinecone 6. When you are creating the pinecone index make sure, index_name = "langchain-chatbot" Dimensions of the index is 384 7. Run the web app streamlit run main.py
