- Updated: June 20, 2025
- 1 min read
Building a Powerful AI Assistant with Streamlit and LangChain
The content provides a detailed guide on building an AI assistant using Streamlit, LangChain, and Google Gemini API. It covers the setup of the environment, the creation of the AI assistant, and the deployment on Google Colab. The AI assistant offers functionalities such as web search, Wikipedia lookup, mathematical calculations, persistent memory, and date & time retrieval. The document also highlights the advantages of using these technologies for real-time interaction and provides additional resources for further exploration.
Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.