AgenticAI
Facilitates experimentation with LangChain, LLM-powered agents, and autonomous AI workflows through practical implementations and prototypes.
About
AgenticAI serves as a comprehensive, modular hub designed for developers and researchers eager to dive into the capabilities of Large Language Models (LLMs) as advanced reasoning and decision-making systems. It offers a rich collection of practical implementations, educational mini-projects, and advanced prototypes focused on LangChain projects, various LLM agent architectures, and autonomous AI workflow designs. This repository is ideal for exploring prompt engineering, Retrieval Augmented Generation (RAG), tool-using agents, multi-agent collaboration, and complex agent loop architectures with a variety of supported LLM providers and vector databases.
Key Features
- Modular repository for AI agent and LangChain experimentation
- Practical implementations of LangChain projects (RAG, LCEL)
- Variety of LLM agent architectures (Tool-using, Memory-based, Multi-agent)
- Prototypes for autonomous AI workflows and agent loop designs
- Integration with OpenAI, Cohere, HuggingFace LLMs and FAISS/Chroma vector databases
- 1 GitHub stars
Use Cases
- Prototyping and exploring autonomous AI workflows and multi-agent systems
- Developing and testing LLM-powered agents for various tasks
- Experimenting with advanced LangChain features and concepts
