Using Vector Search for Semantic Search - Practice | MongoDB

You need to enable javascript to view this website.

Skip to main content

- 01. Lesson 1: Vectors and Dimensions
  - Learn
  - Practice
- 02. Lesson 2: Sparse and Dense Vectors
  - Learn
  - Practice
- 03. Lesson 3: Create Embeddings for your Data
  - Learn
  - Practice
- 04. Lesson 4: Indexing Algorithms
  - Learn
  - Practice
- 05. Lesson 5: Configure a Vector Index
  - Learn
  - Practice
- 06. Lesson 6: Create a Search Query Using Vector Search
  - Learn
  - Practice
- 07. Lesson 7: Introduction to Hybrid Search
  - Learn
  - Practice
- 08. Lesson 8: Implementing Hybrid Search
  - Learn
  - Practice
- 09. Conclusion
  - Learn
Resources & Forums
Assignments
Gallery
Notes

FAQ's

Sign In

Lesson 4: Indexing Algorithms / Practice

Register now to practice what you have learned. Or continue to the next page without saving your progress.

Enroll Today

Register now to gain access to this course.

Already Enrolled? Sign In Check out other courses