Semantic search with vector databases | Udemy

Semantic search and vector databases are transforming the way we deal with large volumes of information, making searches more precise and contextualized. If you want to understand this innovative technology and apply it to your projects, this course is for you.

In this course, you will learn everything from the fundamental concepts of semantic search to the practical implementation of vector databases using Pinecone, one of the leading platforms for vector storage and retrieval. We will explore how to transform text into vectors, create efficient indexes and build intelligent queries to find relevant information quickly.

What will you learn?

Fundamentals of Semantic Search and Vector Databases – Understand how vectors represent meaning and context in searches.

Creating and Managing Vector Indexes – Configure and manipulate vector databases using Pinecone.

Text Processing for Embeddings – Extract data from documents, strategically split text, and generate high-quality embeddings.

Building Advanced Query – Learn how to retrieve information efficiently and accurately.

Developing an AI Assistant – Create a system that answers questions based on vector search.

Who is this course for?

This course is ideal for developers, data scientists, AI professionals, and students who want to deepen their knowledge of semantic search and vector databases. Whether you want to build recommendation systems, search engines, or intelligent chatbots, this course will provide you with the knowledge you need.

No prior experience with vector databases is required.