Build a conversational chatbot that can remember context and retrieve external information during conversations.
Custom corpus (e.g., Wikipedia pages, internal documents, or any knowledge base)
- Use LangChain or Retrieval-Augmented Generation (RAG)
- Implement context memory for conversational history
- Retrieve answers from a vectorized document store (ChromaB)
- Deploy the chatbot with Streamlit
- Conversational AI development
- Document embedding and vector search
- Retrieval-Augmented Generation (RAG)
- LLM integration and deployment