Feb 24
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In this video, we explore the top AI tools to learn and build AI applications in 2026. You’ll see how modern AI apps are built using LLMs, vector databases, and AI frameworks such as LangChain, OpenAI models, Ollama, and Google AI Studio. This video is a practical guide for developers, founders, and creators who want to build an AI app, whether it’s a web app, SaaS product, or iOS application with AI. We cover how these tools work together to power real-world AI systems using embeddings, retrieval-augmented generation (RAG), and APIs, including options for low-code and no-code AI app development. You’ll also understand which tools are the best AI tools to use in 2026, how people are using them to build AI products and make money, and how to choose the right stack for your use case. What you’ll learn: Top AI tools in 2026 for building AI applications How to build an AI app using LangChain and OpenAI models Vector databases for AI apps (Pinecone, Weaviate, FAISS, Chroma) Running LLMs locally using Ollama How to build apps with AI (web, SaaS, and iOS) Build AI apps with coding and no-coding approaches top ai tools, top ai tools 2026, top 5 best ai tools, the best ai tools to use, my top 10 ai tools, ai tools to make money, build ai tool, how to build an ai app, build an ai app, how to build app with ai, build app with ai, build an app with ai, build app with ai coding, build ai app no coding, how to build apps with ai, how to build an app, how to build apps, build ios app with ai, how to build ios app with ai, google ai studio build app, openai models, langchain, vector databases, ollama, ai application development