This QnA with RAG accelerator connects to vector DBs (Elasticsearch, Milvus, or Datastax), ingests and indexes documents, and runs a Python RAG pipeline for grounded Q&A. Optional features include feedback indexing, expert search, topic modeling, and UI via watsonx Assistant or Streamlit on IBM Code Engine. - View it on GitHub