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Metadata

Highlights

  • Today we introduce RAGs, a Streamlit app that allows you to create and customize your own RAG pipeline and then use it over your own data — all with natural language! This means you can now setup a “ChatGPT over your data” without needing to code. (View Highlight)
  • View Generated Parameters: The builder agent suggests parameters based on your initial setup. • Edit and Customize: You have complete freedom to tweak these settings, ensuring the RAG agent behaves exactly as you need. • Update the Agent: Any changes you make can be instantly applied by hitting the “Update Agent” button. (View Highlight)
  • The final piece of the RAGs experience is the Generated RAG Agent section. Here’s what you can expect: • Interactive Chatbot Interface: Just like ChatGPT, engage in conversations with your RAG agent. • Data-Driven Responses: The agent utilizes top-k vector search and optional summarization tools to answer your queries based on the underlying data. • Seamless Integration: The agent dynamically picks the right tools to fulfill your queries, ensuring a smooth and intelligent interaction with your dataset. (View Highlight)