Build a Powerful AI Research Assistant with LangChain: Search, RAG & Citations скачать в хорошем качестве

Build a Powerful AI Research Assistant with LangChain: Search, RAG & Citations

Learn how to build a multi-step AI Research Assistant that can search the web, retrieve relevant information, and provide well-cited answers—all using LangChain. In this tutorial, we move beyond simple chatbots to create an autonomous pipeline that acts like your personal AI research team. What we cover in this video: LangChain Fundamentals: Using modular components like prompt templates, chains, and agents to build sophisticated AI. Web Search Integration: Connecting your AI to the live web using the DuckDuckGo search tool. RAG System Setup: Implementing Retrieval-Augmented Generation with vector embeddings for pinpoint accuracy. Automatic Summarization: Using GPT to condense massive amounts of information into clear, actionable answers. Source Citation Tracking: Ensuring your AI remains credible by automatically tracking and citing every source. The code for this entire production-ready pipeline is available on GitHub—check the link in the description to clone it and start experimenting! #LangChain #AIAssistant #RAG #AI #Python #MachineLearning #GenerativeAI #ResearchAssistant #SoftwareEngineering #CodingTutorial