This project provides a framework for building a question-answering chatbot or Q&A agent powered by a website's content. It targets developers and content creators looking to leverage their existing documentation or web pages for an AI-driven conversational interface, enabling users to query information and receive sourced answers.

How It Works

The core functionality relies on LangChain and OpenAI's API. The create_embeddings.py script scrapes a website's sitemap, extracts and cleans text content, splits it into manageable chunks, and generates semantic embeddings using OpenAI. These embeddings are stored in a FAISS index for efficient similarity search. The ask_question.py script queries this index to find relevant content chunks and uses OpenAI to synthesize an answer, citing the source URLs. An optional start_chat_app.py provides an interactive chat interface. An enhancement allows content ingestion directly from Zendesk via its API.

Quick Start & Requirements

• Install dependencies: pip install -r requirements.txt
• Requires an OpenAI API key, set as an environment variable: export OPENAI_API_KEY='$api_key'
• To create embeddings: python create_embeddings.py --sitemap <sitemap_url> --filter <url_filter>
• To query: python ask_question.py "Your question"
• To start chat: python start_chat_app.py
• For Zendesk: python create_embeddings.py -m zendesk -z "https://your.zendesk.api/"
• Official blog post: [link to blog post]

Highlighted Details

• Achieved front-page status on Hacker News (March 22nd, 2023).
• Supports citing source URLs for answers.
• Includes a basic interactive chat application.
• Offers direct integration with Zendesk content via API.

Maintenance & Community

• The project gained significant traction, indicated by its Hacker News feature.
• No specific community channels (Discord/Slack) or roadmap are explicitly mentioned in the README.

Licensing & Compatibility

• The README does not explicitly state a license. This requires clarification for commercial use or integration into closed-source projects.

Limitations & Caveats

• Reliance on OpenAI API necessitates an API key and incurs associated costs.
• The effectiveness of the chatbot is dependent on the quality and structure of the website's content and sitemap.
• The project appears to be a demonstration, and its robustness for production environments may require further testing and development.