Quest 2 - Practical Applications of Vector Search

By the end of this quest, you will be able to:

• Understand the key concepts of vector search and how it applies to text-to-text matching.
• Implement a basic text-to-text search system using pre-trained models to generate vector embeddings.
• Use ChromaDB to store and query embeddings efficiently, facilitating fast and accurate similarity searches.
• Evaluate the accuracy and relevance of search results based on vector similarity.