RAG Made Simple with EmbedChain

Course Category: Generative AI

Course Description

RAG (retrieval-augmented generation) is one of the most popular applications of language models and vector databases, capturing the fascination of many with the ability to chat with their documents. While frameworks like LangChain or DSPy are commonly used for RAG, EmbedChain is another powerful framework that AI engineers should definitely explore. EmbedChain offers simple yet powerful abstractions that make developing RAG applications straightforward and efficient.

In this course, you'll learn how to harness the full potential of EmbedChain to create sophisticated RAG applications with ease.

Enroll Now in RAG Made Simple with EmbedChain

Course Chapters

1. 3 Lines of RAG

   • Status: Free
   • Publication Status: Published
   • Description: Discover how to set up a basic RAG application with just three lines of code using EmbedChain.

2. Chainlit is Lit

   • Status: Published
   • Description: Learn about Chainlit and how it enhances the capabilities of your RAG applications.

3. EmbedChain + Chainlit

   • Status: Published
   • Description: Combine the power of EmbedChain with Chainlit to build more robust RAG systems.

4. Chat with Your Database

   • Status: Published
   • Description: Develop applications that allow users to interact directly with your database using natural language queries.

This course is perfect for AI enthusiasts and developers who want to simplify the process of building RAG applications without sacrificing functionality. By the end of the course, you'll be equipped with the knowledge and tools to efficiently create powerful RAG systems using EmbedChain.

Start Building Simple and Powerful RAG Applications Now