Create Text Embeddings for a Vector Store using LangChain
About this Course
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to use LangChain to store documents as embeddings in a vector store. You will use the LangChain framework to split a set of documents into chunks, vectorize (embed) each chunk and then store the embeddings in a vector database.Created by: Google Cloud
Related Online Courses
Participants will learn key aspects of business ideation, planning, and execution, developing the ability to create and manage successful entrepreneurial ventures. Through a combination of... more
Paleontology: Theropod Dinosaurs and the Origin of Birds is a five-lesson course teaching a comprehensive overview of the origins of birds. This course examines the anatomy, diversity, and... more
This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience. Taught by Johns Hopkins University, it begins with fundamental neuroscience... more
In the 21st century, computational thinking is a skill critical for all the world\'s citizens. Computing and technology is impacting all our lives and everyone needs to know how to formulate... more
The Salesforce Administrator Certification specialization is perfect for individuals seeking to develop proficiency in Salesforce administration and management. Also, the course is aligned with the... more
Powered by
