https://github.com/rieljasperapos/rag_chatbot

A Retrieval Augmented Generation (RAG) Chatbot that allows you to interact with your documents using the open source LLM model Llama 3.
https://github.com/rieljasperapos/rag_chatbot

llama3-rag streamlit-application

Last synced: about 2 months ago
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A Retrieval Augmented Generation (RAG) Chatbot that allows you to interact with your documents using the open source LLM model Llama 3.

• Host: GitHub
• URL: https://github.com/rieljasperapos/rag_chatbot
• Owner: rieljasperapos
• Created: 2024-08-02T06:35:53.000Z (5 months ago)
• Default Branch: master
• Last Pushed: 2024-08-03T08:10:47.000Z (5 months ago)
• Last Synced: 2024-08-04T09:19:56.302Z (5 months ago)
• Topics: llama3-rag, streamlit-application
• Language: Python
• Homepage: https://rag-chat-with-docs.streamlit.app/
• Size: 1.17 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Chat with your documents

Chat anything about the documents that you provided. This is using open source LLM models by Meta: Llama 3

![ChatbotUI](/images/ChatbotUI2.png)

## Install dependencies

Install the required dependencies in the requirements.txt

## Get Groq API Key

Get your groq API Key. [Obtain API KEY here](https://console.groq.com/keys)

Set environment variable GROQ_API_KEY:

```

export GROQ_API_KEY="your_api_key"

```

## Upload files to the data directory

Go to the /data directory and upload your documents.

run the populate_database script:

```

python populate_database.py

```

## Run the streamlit app

```

streamlit run queryprompt.py

```