Building a LangChain Agent (code-free!) Using Bubble and Flowise

Exciting news! We're launching a comprehensive course that provides a step-by-step walkthrough of Bubble, LangChain, Flowise, and LangFlow. Join us to learn how to build multiple consumer-ready AI apps! Limited spots for early bird pricing https://builtbyou.com/ In this tutorial, we'll be exploring agents, how they operate, and their benefits, including access to tools and memory. We'll also show you how to configure an agent to search the internet, search a document, and understand code from GitHub. We'll differentiate between chains and agents and cover the Conversational Agent available in Lang Chain. We will also connect the Bubble-based frontend to the Flowise backend, and have a chat with our agent. Have an AI app idea, and want us to build? Reachout to [email protected]. We help individuals, businesses, and organizations with no-code, as well as, full-stack code AI solutions. Link to Bubble Template app source: https://bubble.io/page?type=page&name=index&id=agentqa&tab=tabs-1 Link to Flowise repo: https://github.com/FlowiseAI/Flowise For any help with implementation, join our discord: https://discord.gg/yGZBqwXEn7 Link of the example repo used for understanding: https://github.com/menloparklab/langchain-cohere-qdrant-retrieval Link on how to create personal access token on GitHub: https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token#creating-a-fine-grained-personal-access-token To update Flowise installation with the latest release: Caution - All previously saved flows will be deleted on render, please download them to your computer first. Please go to GitHub, then select the Flowise repo listed under your account, then click the “sync fork” option, and then “Update branch”. Once GitHub step above is completed, go to Render account and select your app, then click the "Manual Deploy" option and then "Deploy latest commit". This should update the Flowise app for you. In case deployment gives an error, click "Manual Deploy" and then "Clear build cache & deploy" option. If you enjoyed these videos, share them with others who might also benefit. Want help building LangChain apps? Contact Menlo Park Lab https://menloparklab.com/