This is the first session in our three-part AI Build & Learn Workshop Series, "Enrich Your Applications with AI: A Hands-On Guide to MongoDB Atlas Vector Search."
Discover how to supercharge your applications and unlock powerful AI capabilities using MongoDB Atlas Vector Search. In this recording of our recent workshop, we demystify the core concepts of vector search, explore its inner workings within MongoDB, and provide you with hands-on experience in performing and optimizing vector search queries.
Key topics covered during the session include:
- What embeddings are and how they power intelligent semantic search
- Practical aspects of how semantic search operates within the MongoDB platform
- Techniques for tuning and enhancing vector search queries for improved performance
- Sophisticated methods like combining pre-filtering with vector search and shrinking full-fidelity vectors into fewer bits with vector quantization
- How to apply your new knowledge to real-world scenarios
Plus, you’ll earn the Vector Search Fundamentals skill badge when you complete the workshop! Don't miss out on this unique opportunity to deepen your understanding of MongoDB Atlas Vector Search and elevate your application's capabilities.
