LangGraph Capstone: Build a Multi-Agent AI Research Assistant скачать в хорошем качестве

LangGraph Capstone: Build a Multi-Agent AI Research Assistant

It’s time to put everything we’ve learned into practice! 🚀 In this LangGraph Capstone Project, we are building a production-grade Autonomous Research Assistant using a multi-agent architecture. This project demonstrates how to orchestrate complex workflows where different AI agents collaborate to deliver a final result. The best part? We are using a 100% open-source and free-to-use tech stack. What we build in this project: 1. The Orchestrator (Router): The "brain" that directs traffic between research tasks and general chitchat. 2. The Research Agent: Connects to a FAISS Vector Database to retrieve relevant documents based on user queries. 3. The Summarizer Agent: Distills high-volume retrieved data into clear, concise insights. 4. The Writer Agent: Formats and polishes the final output into a professional report. Key Technologies Used: 1. LangGraph: For advanced multi-agent orchestration. 2. FAISS: For local, high-performance vector similarity search. 3. Open Source Embeddings: To keep the project free and accessible. By the end of this project, you will understand how to build stateful, multi-step AI systems that go far beyond simple chatbots. Let’s dive into the architecture and start coding! #LangGraph #AIAgents #FAISS #VectorDatabase #Python #GenerativeAI #MachineLearning #AICapstone #LangChain