Build Your Own Low-Code Chatbot

In Collaboration With
DatastaxDatastax
CohereCohere

Course Outline

Create a practical chatbot that can work with your documents. We will show you how to get started with accessing LLMs using APIs and using low-code environments to orchestrate chatbots. We will also help you understand concepts around RAG and vector search

Learning Outcomes

  • Understand the fundamentals of low-code AI chatbots
  • Learn how to implement Retrieval-Augmented Generation (RAG)
  • Gain hands-on experience interacting with complex unstructured data

Who Is This Course For?

  • Anyone who is looking to work with AI using their own data and create a chat-bot with no-code.

Pre-requisites

  • Basic understanding of language models and prompting (see Prompting course and N0-Code Executive as good start)
LevelBeginner
Your Instructor
I
Instructor
Duration2 hours
Showcasing
DatastaxDatastax
Progress0/4 chapters complete
0%
Your certificateComplete course to get your certificate
Certificate of Completion
Course Name
Why Enroll?
In this course we will introduce you to chatbot development in a low-code environment, and how to talk to your data (RAG). Langflow is an AI orchestration platform that provides a low-code interface for integrating AI models and tools. Whether you're connecting language models like Cohere or working with databases like Astra DB, Langflow simplifies the process of building AI-powered solutions.
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