README.md

metadata

title: LoL Lore
emoji: 💬
colorFrom: yellow
colorTo: purple
sdk: gradio
sdk_version: 5.0.1
app_file: app.py
pinned: false
short_description: A chatbot using RAG with Langchain and Hugging face model

An example chatbot using Gradio, huggingface_hub, and the Hugging Face Inference API.

Steps:

• Retrieve text data from website using Beautifulsoup
• Clean the data
• Chunk the text base on token character split using Langchain
• Use bm25 frequency based as a retriever as characters name are unique and have better results finding similar text to the query. Additionally it takes less time than embedding
• Promp engineering on the system (Adding context on system and update it each query or adding context on the user message). I chose to put it in the user message as results are better.
• Use open source to correct user queries syntax and grammar and for the chatbot
• Build gradio app