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