farukalamai/ai-chatbot-using-Langchain-Pinecone

Chatbot Answering from Your Own Knowledge Base: Langchain, ChatGPT, Pinecone, and Streamlit

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