Building LLM Chatbots with Milvus to Leverage Your Internal Knowledge Base

(ET)

Attendees will undergo a guided workshop to learn how to: 

  • Store their internal knowledge base data on Milvus
  • Use Milvus to perform fast vector searches on their data
  • Compute embeddings using an LLM embedding model
  • We will use MiniLM SBERT model in a Jupyter Notebook running in a Shakudo Session
  • Craft a prompt to send to a LLM endpoint for “speaking to their data”
  • The LLM we will use runs on Shakudo as a Service
  • Use the Shakudo platform, which provides an immediately available, fully managed version of Milvus and easily connects Milvus to other important stack components, including Nvidia Rapids and Dask