Building RAG with Self-Deployed Milvus Vector Database and Snowpark Container Services

In a recent talk at the Unstructured Data Meetup, Jiang Chen discussed how to build a Retrieval Augmented Generation (RAG) system using Milvus vector database and Snowflake ecosystem with Snowpark Container Service (SPCS). RAG is an advanced information retrieval method that enhances large language models' response quality by providing relevant context from internal knowledge bases. The integration of Milvus, a powerful open-source vector database, with Snowflake allows users to easily interact with the data stored in Snowflake and build sophisticated applications like RAG systems.