Welcome to the Local AI Function Calling repository! This project aims to provide a comprehensive guide and set of tools for deploying and utilizing the Nous Research Hermes 2 Pro Large Language Model (LLM) locally, along with the Langchain framework for efficient function calling.
In recent times, the field of Artificial Intelligence (AI) has seen a surge in interest surrounding AI Agents and function calling capabilities within LLMs. This repository delves into the intricacies of deploying the Nous Research Hermes 2 Pro LLM locally and leveraging the Langchain framework to optimize function calling.
Local Deployment: Utilize the Nous Research Hermes 2 Pro LLM locally, ensuring privacy and security.
Langchain Integration: Seamlessly integrate Langchain, a powerful framework for function calling, into your AI workflow.
Comprehensive Setup: Step-by-step instructions for setting up agents, parsers, prompts, and tools to maximize LLM performance.
Extensible Tools: Incorporate a variety of tools for error handling, file management, and web searching to enhance functionality.
To get started, simply follow the instructions outlined in the documentation provided in this repository. From setting up the environment to configuring agents and tools, we've got you covered every step of the way.
Contributions to this project are welcome! Whether it's bug fixes, feature enhancements, or documentation improvements, feel free to submit pull requests or open issues.
This project is licensed under the MIT License, allowing for open collaboration and modification.
I would like to express my gratitude to the developers of Nous Research Hermes 2 Pro and Langchain for their invaluable contributions to the field of AI. Additionally, I'll extend my thanks to the open-source community for their ongoing support and feedback.
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