With the latest release of Mistral 8x22B, interest in building agents with open-source Large Language Models (LLMs) is soaring! To help users harness this potential, they've partnered with Mistral AI to bring a comprehensive set of cookbooks and a video tutorial on building RAG agents using LangGraph control flows.
Combining the Best Ideas
Their cookbooks and video draw inspiration from three groundbreaking papers: Adaptive RAG, Corrective RAG, and Self-RAG. They've combined these innovative ideas to create a robust RAG agent that performs reliably across various model scales, including Mistral-Large, Mistral 8x22B, and Mistral-7b.
Tool-Calling Agent Documentation
Additionally, they're releasing documentation for their cutting-edge tool-calling agent, designed to work seamlessly with Mistral AI's larger models (such as Mistral-Large). This agent utilizes structured outputs to parse actions with unprecedented reliability, surpassing traditional raw prompting methods.
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