wehub-resource-sync
40 lines
1.5 KiB
Markdown
40 lines
1.5 KiB
Markdown
# Trustworthy RAG over complex documents using TLM and LlamaParse
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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](https://docs.cloud.llamaindex.ai/llamacloud/getting_started/api_key) to parse complex documents into LLM ready clean markdown format.
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Before you start, grab your API keys for LlamaParse and TLM
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- [LlamaParse API Key](https://docs.cloud.llamaindex.ai/llamacloud/getting_started/api_key)
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- [Cleanlab TLM API Key](https://tlm.cleanlab.ai/)
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---
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## Setup and installations
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**Setup Environment**:
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- Paste your API keys by creating a `.env`
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- Refer `.env.example` file
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**Install Dependencies**:
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Ensure you have Python 3.11 or later installed.
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```bash
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pip install llama-index-llms-cleanlab llama-index llama-index-embeddings-huggingface
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```
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**Running the app**:
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```bash
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streamlit run app.py
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```
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---
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## 📬 Stay Updated with Our Newsletter!
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**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!](https://join.dailydoseofds.com)
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[](https://join.dailydoseofds.com)
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---
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## Contribution
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Contributions are welcome! Please fork the repository and submit a pull request with your improvements.
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