Learn to build large language model applications: vector databases, langchain, fine tuning and prompt engineering. Learn more

Vector Databases Explained


In an era where the complexity and volume of data are exponentially increasing, vector databases are revolutionizing our approach to interacting with and understanding this information. Dive into the world of vector databases in this live session, where we break down the essentials of how these databases work, focusing on the power of embeddings and advanced search techniques. Discover how these elements come together to offer unparalleled insights into the meaning and context behind your search queries. This session isn’t just about theory; it’s a unique opportunity to gain hands-on experience using Pinecone, a premier platform for crafting vector search solutions.

What to expect:

-Understand how vector search works.

-Discover real-world applications across various industries.

-Get started with Pinecone to build your own powerful search solution.

Muhammad Hani- Vector Databases Explained
Muhammad Hani

Data Engineer at Data Science Dojo

Muhammad Hani is a Data Engineer at Data Science Dojo, specializing in Azure cloud technologies and collaborating on projects with OpenAI. Committed to optimising data pipelines, he focuses on continuous learning in the dynamic field of data engineering.

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!