Description
Chain nodes are the building blocks of Flowise, a powerful tool for creating conversational AI applications. These nodes enable you to perform a wide range of tasks, from retrieving data from APIs and databases to generating responses using large language models.
In this mini course, you will learn about the different chain nodes available in Flowise and how to use them to build sophisticated conversational AI applications.
Here’s What You’ll Learn:
- How each of the chain node works and how to use them in Flowise.
- Which nodes have been replaced by newer tools and updates.
- How to connect to a variety of APIs to extend the power of your Chatflows and AI applications
- How to use the SQL Database Chain to interact with SQL databases using natural language
- When to use prompt chains vs retrieval chains in your workflows
- How to add chat models in your chains that might not be supported yet in Flowise
- How to create multi-prompt chains as well as retrieval QA chains that can handle multiple documents.
By the end of this mini course, you will have a better understanding of the different chain nodes available in Flowise and how to use them to build sophisticated conversational AI applications. You will also learn best practices for improving the performance of your chains, handling errors, and formatting your data and loading documents for your RAG (Retrieval) applications.
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