Large language models (LLMs) like GPT are the must-have technology of the year. Unfortunately, LLMs can’t accurately answer questions about your business because they lack enough domain knowledge. The solution is to combine the LLM with a vector database like Milvus—a technique known as retrieval augmented generation (RAG).
In this session you’ll learn how to get started with Milvus and perform Q&A on some documents using GPT and the RAG technique.
Key Takeaways:
– Learn how to store text in the Milvus vector database.
– Learn how to use retrieval augmented generation to combine Milvus and GPT.
– Learn how to ask securely questions about business documents
[TUTORIAL] How to Build LLM Applications with LangChain: https://bit.ly/47429jY
[TUTORIAL] Using ChatGPT to Moderate ChatGPT Responses: https://bit.ly/45Dt6tS
[CODE ALONG] An Introduction to GPT & Whisper with the OpenAI API in Python: https://bit.ly/46XalDn
[WEBINAR] Using ChatGPT Code Interpreter for Data Science: https://bit.ly/49hV2Xo
Add comment