Skip to content

Latest commit

 

History

History

trustworthy-rag

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
docs
docs
 
 
.env.example
.env.example
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
app.py
app.py
 
 
main.ipynb
main.ipynb
 
 
utils.py
utils.py
 
 

README.md

Trustworthy RAG over complex documents using TLM and LlamaParse

The project uses a trustworthy language model from Cleanlab (TLM) that prvides a confidence score and reasoning on the generated output. It also uses LlamaParse to parse complex documents into LLM ready clean markdown format.

Before you start, grab your API keys for LlamaParse and TLM

Setup and installations

Setup Environment:

  • Paste your API keys by creating a .env
  • Refer .env.example file

Install Dependencies: Ensure you have Python 3.11 or later installed.

pip install llama-index-llms-cleanlab llama-index llama-index-embeddings-huggingface

Running the app:

   streamlit run app.py

📬 Stay Updated with Our Newsletter!

Get a FREE Data Science eBook 📖 with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. Subscribe now!

Daily Dose of Data Science Newsletter

Contribution

Contributions are welcome! Please fork the repository and submit a pull request with your improvements.