Offered By: IBMSkillsNetwork
Embed documents using watsonx's embedding model
Discover semantic search technologies with IBM's watsonx.ai embedding model to revolutionize text search. In this guided project, you'll preprocess text data and transform articles into semantic vectors using the watsonx API. Perfect for data scientists or NLP enthusiasts, this project showcases the power of semantic content in enhancing information retrieval systems.
Continue readingGuided Project
Artificial Intelligence
At a Glance
Discover semantic search technologies with IBM's watsonx.ai embedding model to revolutionize text search. In this guided project, you'll preprocess text data and transform articles into semantic vectors using the watsonx API. Perfect for data scientists or NLP enthusiasts, this project showcases the power of semantic content in enhancing information retrieval systems.
Perfectly suited for data scientists or NLP enthusiasts, this project will guide you through the process of preprocessing news data and transforming text into semantic vectors using the watsonx API. By the end of this project, you'll have firsthand experience in applying cutting-edge technology to revolutionize the search and retrieval of news articles.
What You'll Learn
After completing this project, you will:
- Prepare and preprocess documents for embedding
- Use watsonx.ai and Hugging Face embedding models to generate embeddings for your documents
What You'll Need
To successfully complete this guided project, you should have:
- A basic understanding of Python programming
- Familiarity with concepts in natural language processing (NLP) is beneficial but not mandatory
- Access to a web browser compatible with IBM Skills Network Labs, such as Chrome, Edge, Firefox, Internet Explorer, or Safari
Estimated Effort
30 Minutes
Level
Intermediate
Skills You Will Learn
Data Preprocessing, IBM Watsonx.ai, Information Retrieval, LangChain, NLP, Python
Language
English
Course Code
GPXX0HDUEN