Completed
Full Stack
WebChat AI
A RAG chatbot that makes ChatGPT get context of any URL or website, built with Streamlit and LangChain.
Overview
WebChat AI is a browser content-aware chatbot that lets users paste a URL and chat with the content of that webpage. It extracts text from any site, processes it with LangChain embeddings, and provides contextual AI responses through a simple Streamlit UI.
What Does it Do?
- Take a website link as input and scrape its textual content.
- Split the scraped text into chunks for embedding.
- Store text embeddings in a vector database for RAG retrieval.
- Accept user queries and perform semantic search over the page content.
- Generate context-aware answers using an LLM based on the retrieved website content.
- Display chat history and responses within a Streamlit interface.
Why I Built this
- To build a tool that lets ChatGPT understand and answer questions using the actual content of any URL.
- To learn and apply LangChain and RAG techniques in a real project.
- To provide an easy UI for contextual website Q&A without manual data prep.
- To explore how vector embeddings can enhance chatbot relevance.
Tech Stack
- Python
- Streamlit
- LangChain
- BeautifulSoup
- Embeddings and Vector Database
- OpenAI / GPT-4