
3/25/2025 · Lumina Wang
What this post added
This post demonstrates integrating the DeepSeek v3-0324 LLM with Milvus for building a Retrieval-Augmented Generation (RAG) system. It details the steps for setting up the environment, preparing data from Milvus documentation, configuring Milvus Lite for local storage, creating a collection with appropriate dimensions and metric types, embedding documents using Milvus's default embedding function, and performing searches. The core contribution is the practical application of DeepSeek v3-0324's advanced reasoning and context window capabilities within a Milvus-powered RAG pipeline, highlighting the ease of integration via OpenAI-compatible APIs and the effectiveness of Milvus for data retrieval.