Optimizing Multi-agent Systems with Mistral Large, Mistral Nemo, and Llama-agents

This blog post explores how to build agents using Llama-agents and Milvus, combining large language models (LLMs) with vector similarity search capabilities to create sophisticated agentic systems. The text discusses the use of Mistral Nemo for simpler tasks and Mistral Large for orchestrating different agents, as well as how to load data into Milvus and define various tools for the agent. It also covers using an LLM to create metadata filters automatically and orchestrating everything with Mistral Large.