Build Chroma Search
About this course
Build Chroma Search is an intermediate, project-based course for developers and aspiring machine learning engineers who want to build and deploy a complete, real-world semantic search application. In today's AI-driven landscape, keyword search is no longer enough; this course teaches you how to leverage the power of vector embeddings and the specialized vector database, Chroma, to create a search engine that understands meaning, not just words. You will progress through a full development lifecycle, from indexing a document collection to exposing your search functionality through a deployable Flask API. The course places a strong emphasis on professional standards, guiding you to quantitatively measure your API's performance using critical relevance metrics like Mean Reciprocal Rank (MRR) and precision@5. Through hands-on labs and a final summative project, you will not only build a functional search API but also produce an evaluation report to validate its quality, equipping you with a portfolio-ready project and the skills to tackle advanced information retrieval tasks.
63/100
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What you'll learn
- build a complete semantic search application
- deploy a search API using Flask
- measure API performance with metrics like MRR and precision@5
- work with vector embeddings and the Chroma database
Course objectives
- teach real-world application development using semantic search
- guide students through the complete development lifecycle
- emphasize the quantitative evaluation of search performance
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