Apsara AI - Rag & Advance Chatbot

Welcome to Apsara AI, an innovative project powered by Streamlit, Groq, and Ollama! 🚀

Apsara AI features a cutting-edge Chatbot and RAG (Retrieval Augmentation Generation) system designed to enhance conversational experiences and streamline information retrieval from various documents.

Features

• Chatbot: Engage in real-time conversations with Apsara using advanced conversational capabilities powered by Groq and Ollama.

• RAG (Retrieval Augmentation Generation): Extract information from PDFs, Docs, or websites effortlessly with Apsara's RAG system.

Project Files

• home.py: Contains the home page (used this for running the interface)
• chatbot.py: Contains the code for the Chatbot component of Apsara AI.
• rag.py: Contains the code for the RAG (Retrieval Augmentation Generation) component of Apsara AI.

Getting Started

Installation Instructions

Ollama

1. Download Ollama:

   • Visit Ollama's official website to download the Ollama software.

2. Install Ollama:

   • Follow the instructions provided on the Ollama website to install the software on your system.

3. Pull Local Embeddings:

   • To pull the local embeddings, run the following command in your terminal:

     ollama pull nomic-embed-text

4. Pull Local LLM (Optional):

   • If you want to use a local LLM, run the following command in your terminal:

     ollama pull openchat

5. Verify Installation:

   • After installation, you can verify that Ollama and the required components are installed correctly by running:

     ollama --version

6. Clone the repository:

   git clone https://github.com/your-username/apsara-ai.git
   

7. Install requirements.txt:

• Install requirements.txt file by following command

  pip install -r requirements.txt

8. Run the Streamlit App:

  streamlit run home.py