algolia/placesArchived

This project is a cross-platform mapping SDK and hardware-accelerated rendering engine implemented in C++. It provides a shared geospatial core that allows for the embedding of interactive maps into Android, iOS, macOS, Node.js, and Qt applications. The system focuses on high-performance vector tile rendering using OpenGL and GPU primitives to display interactive 3D landscapes and complex geospatial datasets. It transforms compressed protocol buffers into customizable visuals through a style-driven layer pipeline. The capability surface extends to comprehensive location services, including g

InstantSearch is a JavaScript search framework and UI library designed for building instant search and discovery interfaces using the Algolia API. It provides a toolkit for implementing search logic, state synchronization, and result rendering across various environments, including dedicated component libraries for React and Vue.js. The framework decouples search data processing from the UI layer through a connector-based logic abstraction and a provider pattern for state distribution. This allows developers to build custom search behaviors by transforming connectors into hooks and assembling

Marqo is an ecommerce product discovery platform, multimodal vector database, and AI search merchandising tool. It provides infrastructure for implementing semantic search and recommendations, allowing shoppers to find products using natural language and images. The platform distinguishes itself through a hybrid ranking pipeline that combines neural semantic scores with business-defined boosting and pinning rules. It features a conversational commerce engine that uses large language models to process user intent and provides a search performance analytics suite for measuring conversion uplift

Nominatim is a self-hosted geospatial search engine and geocoding server that utilizes OpenStreetMap data. It provides a complete infrastructure for forward geocoding, converting addresses or place names into geographic coordinates, and reverse geocoding, translating coordinates into human-readable physical addresses. The project features a dedicated data importer that parses raw map data into a PostgreSQL geospatial database. It distinguishes itself through a configurable import pipeline that uses style files to filter map features and an importance-based ranking system to prioritize search