This is a basic RAG chatbot made using LangChain, Streamlit, FAISS, Cohere's embed-english-v3.0 and OpenAI's gpt-3.5-turbo or Cohere's command-r

Worked with Python 3.11 anything above will probably work.

1. Clone the repo

git clone https://github.com/Anindyait/RAG-Basics.git

2. Create and activate virtual environment

cd RAG-Basics
python -m venv .venv
.venv\Scripts\activate

3. Install Requirements

pip install -r requirements.txt

4. Go to \.venv\Lib\site-packages\langchain_community\chat_models Open cohere.py and comment out the line "token_count": response.token_count,

5. Create a .env file and put your Cohere API key as COHERE_API_KEY and OpenAI API key as OPENAI_API_KEY Cohere API Key and OpenAI API Key

OPENAI_API_KEY=[YOUR OPENAI API KEY GOES HERE]
COHERE_API_KEY=[YOUR COHERE API KEY GOES HERE]

The OPENAI_API_KEY is not used by default. The chatbot uses Cohere's embed-english-v3.0 and command-r by default.

6. Run Chatbot.py streamlit run .\Chatbot.py

• Navigate to Upload Files in the sidebar to upload your own PDFs (make sure the PDFs are readable)
• Store the uploaded PDFs in a new or existing index.
• Navigate to Chatbot and select the desired index (An index on the book Metamorphosis is already created).
• And ask questions to the chatbot.