Unlock the power of vector databases with the "Vector Databases: from Embeddings to Applications" course! A journey that will equip you with essential skills to leverage vector databases for various applications.

Sample implementation of multilingual semantic search with Elasticsearch using NLP embeddings.

A modern semantic search engine for discovering songs and poems across Hindi, Hinglish, and English using multilingual embeddings and FAISS vector similarity

Laravel SmartSearch — production-grade search abstraction layer for Laravel with OpenSearch, Elasticsearch, Scout, and database fallback. Unified search API, automatic indexing, Arabic/multilingual support, queue-driven, safe fallback. AI-powered semantic search with vector embeddings.

Multilingual GitHub discovery engine for frontier engineering, open-source signals, and agentic search.

A Dockerized FastAPI service leveraging Elasticsearch for high-performance, dynamic, and multilingual document indexing and searching.

Content-based niche-first recommender that surfaces Made-in-Rwanda artisan products over global brands. Multilingual TF-IDF (EN/FR/Kinyarwanda) + local-boost + fairness cap. <5 ms per query on CPU. Includes a low-tech weekly lead workflow for offline artisans.