https://github.com/kingabzpro/real-time-rag
Building Real-time AI App with Groq API and LangChain
https://github.com/kingabzpro/real-time-rag
chromadb gradio groq-api huggingface langchain qanda rag real-time
Last synced: 8 months ago
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Building Real-time AI App with Groq API and LangChain
- Host: GitHub
- URL: https://github.com/kingabzpro/real-time-rag
- Owner: kingabzpro
- Created: 2024-08-28T07:16:04.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-05T22:28:55.000Z (almost 2 years ago)
- Last Synced: 2024-11-17T03:06:27.772Z (over 1 year ago)
- Topics: chromadb, gradio, groq-api, huggingface, langchain, qanda, rag, real-time
- Language: Jupyter Notebook
- Homepage: https://www.kaggle.com/code/kingabzpro/real-time-ai-app-with-groq-api-and-langchain
- Size: 840 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
---
title: Real Time RAG Application
emoji: 🤺⌚
colorFrom: green
colorTo: yellow
sdk: gradio
sdk_version: 4.42.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: Real-time AI App with Groq API and LangChain
---
## Project Diagram
## To run the App
1. Generate the Groq API by going to the website: https://console.groq.com/keys.
2. Create the environment variable "Groq_API_Key" using the API.
3. Install all the required Python Packages using `pip install -r requirements.txt`
4. Run the Gradio app file `python app.py`
