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

Blog post from Zilliz

Post Details
Company
Date Published
Author
Stephen Batifol
Word Count
2,813
Company Posts That Month
14
Language
English
Hacker News Points
-
Post removed?
No
Summary

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.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 26 3,996 453 162 -12%
Vector Search 11 2,325 291 104 +36%
Multi-agent systems 5 51 16 11 -26%
AI Agents 2 362 82 44 -6%
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