Vector Search Fundamentals / Conclusion
Vector Search Fundamentals
Excellent work! You learned how to:
Learning Objectives
Understand Semantic Search: Know how and when to use semantic search to capture the meaning and context behind a query and to improve the relevance of results.
Store Embeddings for your Data: Capture the meaning and context behind your data by generating embeddings and storing them in MongoDB.
Perform a Vector Search: Implement vector search in your application to retrieve semantically similar data and improve the relevance of the results.
Earn Your Badge
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Resources
Use the following resources to learn more about Atlas Vector Search:
