A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.

Demonstrates how to protect your OpenAI API Key using a Cloudflare Worker to serve your ephemeral token and then do client side tool calling

GenAI & agent toolkit for Apple Silicon Mac, implementing JSON schema-steered structured output (3SO) and tool-calling in Python. For more on 3SO: https://huggingface.co/blog/ucheog/llm-power-steering

A collection of system prompts and tool data used for AI chatbots.

Building AI agent with hyperpocket tool in a flash

Examples and tutorials for building AI applications with watsonx.ai Flows Engine

Making LLM Tool-Calling Simpler.

A powerful Flask-based web application that enables an LLM to interact with multiple tools, performing complex tasks through intelligent function calling.

Learn how to build effective LLM-based applications with Semantic Kernel in C#

Package intended to simplify the use of MCP server tools within LangChain

a simple MCP client implementation using LangChain / TypeScript

Production-ready Agentic AI ChatBot using Llamaindex and Groq-Llama 3.3

MCP Client Implementation Using LangChain / TypeScript

MCP To LangChain Tools Conversion Utility

Implementation of "Building Agentic RAG with LlamaIndex" offered by DeepLearning.AI focusing on developing intelligent research agents using the Retrieval-Augmented Generation (RAG) framework.

A JS module to help convert any LangChain Chat Model into a Tool Calling LLM

MCP Client Implementation Using LangChain / Python

LLM AgeToolkit provides minimal, modular interfaces for core components in LLM-based applications.

The Financial Analysis Crew is a Streamlit app that simplifies financial stock analysis. With the power of LLM-driven agents, users can seamlessly gather and analyze stock market data to generate comprehensive financial insights. Perfect for investors, analysts, and anyone interested in making data-driven financial decisions.