serkanyasr/langchain-chatbot-explorer

This repository includes scripts for downloading Langchain documents, ingesting them into Pinecone, and running a Streamlit app to explore the data.

Langchain Document Ingestion and Streamlit App

This repository includes scripts for downloading Langchain documents, ingesting them into Pinecone, and running a Streamlit app to explore the data.

Getting Started

Follow these steps to set up and run the project:

1. Clone the Repository:

   git clone https://github.com/serkanyasr/langchain-chatbot-explorer.git
   cd langchain-chatbot-explorer

2. Install Dependencies:

   pip install -r requirements.txt

3. Download Langchain Documents: Run the following command to download Langchain documents.

   python download_docs.py

   or

   wget -r -A.html -P langchain-docs https://api.python.langchain.com//latest/api_reference.html

4. Update Pinecone API Key and Environment: Open ingest_docs.py and replace the placeholders in the init_pinecone function with your Pinecone API key and environment.

5. Ingest Documents into Pinecone: Run the following command to process and send Langchain documents to Pinecone.

   python ingest_docs.py

6. Run the Streamlit App: Run the Streamlit app to explore the data.

   streamlit run app.py

langchain-chatbot.mp4

Project Structure

• download_docs.py: Script to download Langchain documents.
• ingest_docs.py: Script to ingest documents into Pinecone.
• app.py: Streamlit app to explore Langchain data.

Configuration

• Update Pinecone API key and environment in ingest_docs.py.
• Configure Streamlit app in app.py if necessary.

Contributing

If you'd like to contribute to this project, please follow these guidelines:

1. Fork the repository.
2. Create a new branch for your feature: git checkout -b feature-name.
3. Make your changes and commit them: git commit -m 'Add some feature'.
4. Push to the branch: git push origin feature-name.
5. Submit a pull request.

License

This project is licensed under the MIT License.