Semantic Search in Practice with MongoDB and Voyage AI [Free Meetup]

Traditional keyword search retrieves documents containing the exact words entered by the user. Semantic search goes further by understanding the meaning and intent behind a query, allowing it to find relevant content even when different terminology is used. In this practical meetup, we will explore how semantic search works and implement it using MongoDB and Voyage AI. We will introduce vector embeddings, embedding models, multidimensional vector spaces, and similarity measurements such as cosine similarity, Euclidean distance, and dot product. Using Python, Voyage AI, and MongoDB Atlas, we will generate embeddings for document data, store them directly alongside MongoDB documents, create a vector search index, convert user queries into embeddings, and execute semantic searches. We will also examine how reranking models improve the ordering and relevance of the initial search results.

Come with questions; there will be time for discussion. Prior knowledge is not required. Whether you're brand new to MongoDB and Semantic Search or already using it daily, you'll leave with practical tools you can apply right away.

11:00-11:15 - Gathering
11:15-11:45 - Talk
11:45-12:00 - Q&A

We at life michael, continuously develop training material (courses and seminars) for software developers. This meetup will be delivered by Haim Michael, who has over 25 years of experience in software development, training & consulting. More info about Haim's experience over the years can be found at https://blog.lifemichael.com. Haim is a PHP Zend Certified Engineer, OMG-Certified UML Professional, Certified Java Professional, and a Certified Java EE Web Components Developer. In addition, Haim Michael holds an MBA (cum-laude) from Tel Aviv University.|

You can find more information about our premium professional seminars at https://lifemichael.com/corporate/seminars.