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- Stress testing quadrant
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Classroom Contents
Stress Testing Qdrant - Semantic Search with 90,000 Vectors - Lightning Fast Search Microservice
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- 1 - Stress testing quadrant
- 2 - Splitting text into chunks
- 3 - Creating a list of vectors from text chunks
- 4 - Creating a data folder for a machine learning model
- 5 - Setting up TensorFlow Hub
- 6 - Setting up a Python virtual environment
- 7 - Setting up the TensorFlow GPU environment
- 8 - Generating data for a machine learning model
- 9 - Uploading and testing the quadrant stress test
- 10 - Uploading a dataset to an Algolia account
- 11 - Trying to upload records
- 12 - Uploading records
- 13 - A look at the final numbers
- 14 - The power and efficiency of the search function
- 15 - The efficiency of the program
