Simplifying Legal Research with RAG, Milvus, and Ollama

In this blog post, we explore how Retrieval Augmented Generation (RAG) can be applied to legal data using Ollama and Milvus. RAG is a technique that enhances Language Learning Models (LLMs) by integrating additional data sources. We demonstrate how to set up a RAG system for legal data, leveraging Milvus as our vector database and Ollama for local LLM operations. The process involves indexing the data, retrieval and generation at runtime, and using an LLM to generate a response based on enriched context. This approach can significantly streamline legal research by making it more efficient and easier.

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