Tutorial
January 5, 2025
15 min read
Building Semantic Search: Code Walkthrough
Step-by-step implementation of semantic search using vector embeddings, with code examples and performance optimization tips.
Y
Yohanun Engineering Team
🚧 Coming Soon
This detailed tutorial is in progress! We'll walk through building semantic search from scratch, including vector embeddings, similarity scoring, and performance optimization.
Topics we'll cover:
- Vector Embeddings: Converting text to high-dimensional vectors
- Similarity Scoring: Cosine similarity and other distance metrics
- Index Optimization: Building efficient search indexes
- Real-world Performance: Benchmarks and optimization techniques
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