Naive RAG Chatbot

Built With

• Python
• LangChain
• Cohere
• Faiss
• Gradio

Getting Started

Prerequisites

To get a local copy up and running follow these simple example steps.

• python

  python --version

• pip

  pip --version
  python.exe -m pip install --upgrade pip

Installation

0. Deactivate enviroment

   deactivate

1. Clone the repo

   git clone https://github.com/estelacode/rag_chatbot_qa.git

2. Create enviroment

   python -m venv .venv

3. Activate enviroment

   .venv\Scripts\activate

4. Install dependencies manually

   pip install gradio
   pip install langchain
   pip install langchain_community
   pip install langchain_cohere
   pip install unstructured
   pip install networkx
   pip install openpyxl
   pip install faiss-cpu

4. Install dependencies from the requirements file

   pip install -r requirements.txt

5. Generate requirements file

   pip freeze > requirements.txt

More commands

6. show package version

   pip show pymilvus

7. uninstall package

   pip uninstall langchain

🚀 Usage To create the vector store

   python data/ingestion.py

To lauch the chatbot

   pip install -e .
   app

Resources

• Document loader https://python.langchain.com/v0.2/docs/integrations/document_loaders/microsoft_excel/

Preguntas de Ejemplo

• ¿Qué es python?
• ¿Qué es el aprendizaje supervisado?