CampaignsChromaDB Essentials: From Theory to Application
Quest 2 - Practical Applications of Vector Search
Quest
Quest 2 - Practical Applications of Vector Search
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STATUS
Ongoing
TOTAL REWARDS
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REWARD AMOUNT
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PLAYERS JOINED
75
75
STARTS
(GMT +08:00)
ENDS
(GMT +08:00)
Learning Outcomes
By the end of this quest, you will be able to:
- Implement text-to-image search using ChromaDB and the CLIP model to generate embeddings.
- Understand how to create and manage collections in ChromaDB for storing high-dimensional vector data.
- Generate image and text embeddings using a pre-trained model and leverage these embeddings for similarity searches.
- Perform vector search queries in ChromaDB to match text descriptions with images.
Quest Details
Introduction
🔔 Important: Quest 1 will be covered on Learn! Go to the Machine Learning with Python specifically to Practical Applications of Vector Search!
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