- AI
- Backend
Semantic Search Sandbox
Image credit: Majd Edriss
Challenge
Semantic search and vector databases are complex and hard to grasp, especially without clear hands-on examples.
Result
A clear understanding of core concepts such as vector search, embeddings and API integration through a deliberately minimal, functional architecture.
Solution
A minimal sandbox built with TypeScript, Express and ChromaDB for a hands-on implementation of embeddings and semantic search.
Technologies
- TypeScript
- Express
- ChromaDB
- OpenAI API
- Docker