Data & analyticsStatus: In production
Data access library with vector search
Challenge
Several applications needed uniform, safe database access including full-text and vector search for AI features, without rewriting that logic in every project.
Technology
- Node.js
- Mongoose
- MongoDB Atlas Search
- Vektorsuche
- Jest
- npm
Requirements
- Connection caching and pooling
- CRUD, pagination, aggregation and bulk operations
- Fuzzy full-text and vector search
- Protection against query injection
Approach
- 01Wrapper with clear, consistent methods
- 02Index management for regular and vector indexes
- 03Automated tests, published as a package, in use across several projects