AgenticAI is a modular repository designed for practical experimentation with LangChain, LLM-powered AI agents, and advanced autonomous AI workflows. It includes implementations, mini-projects, and prototypes.

What types of LangChain projects can I find in AgenticAI?

AgenticAI features practical LangChain implementations such as Retrieval Augmented Generation (RAG), LangChain Expression Language (LCEL) demos, prompt engineering pipelines, and Chain-of-Thought reasoning examples.

Does AgenticAI support different types of LLM agents?

Yes, AgenticAI allows you to experiment with a variety of LLM agent architectures, including tool-using agents (ReAct, Toolformer), memory-based agents (AutoGPT-style), and multi-agent collaboration systems.

Which LLMs and databases are compatible with AgenticAI?

AgenticAI integrates with popular LLM providers like OpenAI, Cohere, and HuggingFace. For vector database functionality, it supports FAISS and Chroma.

AgenticAI

Name: AgenticAI
Author: mohammadreza-mohammadi94

bymohammadreza-mohammadi94

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開発者ツール

学習とドキュメンテーション

データサイエンスとML

Facilitates experimentation with LangChain, LLM-powered agents, and autonomous AI workflows through practical implementations and prototypes.

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.

主な機能

01Modular repository for AI agent and LangChain experimentation

02Practical implementations of LangChain projects (RAG, LCEL)

03Variety of LLM agent architectures (Tool-using, Memory-based, Multi-agent)

04Prototypes for autonomous AI workflows and agent loop designs

05Integration with OpenAI, Cohere, HuggingFace LLMs and FAISS/Chroma vector databases

061 GitHub stars

ユースケース

01Prototyping and exploring autonomous AI workflows and multi-agent systems

02Developing and testing LLM-powered agents for various tasks

03Experimenting with advanced LangChain features and concepts