AI-Driven RAG Systems: Practical Implementation With LangChain

Retrieval-augmented generation (RAG) is revolutionizing artificial intelligence by combining powerful generative AI models with sophisticated information retrieval systems. This comprehensive guide explores foundational concepts essential for understanding RAG, including information retrieval, generative AI models, embeddings, and vector databases, followed by a detailed, practical step-by-step implementation using LangChain. Understanding these fundamentals and their practical application through LangChain allows developers and businesses to deploy effective, scalable, and context-aware AI solutions.