Search Results for "php search engine"
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Showing 16 open source projects for "php search engine"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Summa
Full-text IPFS-friendly and WASM-compatible Search in Rust
Summa is a full-text IPFS-friendly search engine that may be launched on both large servers and inside your browser. Thanks to the embedded IPFS daemon, your data can be replicated and published through P2P, allowing for a truly distributed and uncensorable search experience. And, thanks to compatibility with WASM, Summa can be launched entirely inside your browser, enabling you to search in network-published indices without ever having to execute search queries on remote servers. -
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Qdrant
Vector Database for the next generation of AI applications
Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. -
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tinysearch
Tiny, full-text search engine for static websites built with Rust
tinysearch is a lightweight full-text search engine designed specifically for static websites, offering fast and efficient search capabilities without requiring a backend server. It is written in Rust and compiled to WebAssembly, allowing it to run entirely in the browser while maintaining a very small footprint. The engine uses compact data structures such as XOR filters to efficiently index and query text, significantly reducing memory usage compared to traditional search libraries. ... -
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Meilisearch
An open-source, lightning-fast, and hyper-relevant search engine
An open-source, lightning-fast, and hyper-relevant search engine that fits effortlessly into your apps, websites, and workflow. Meilisearch is a flexible and powerful user-focused search engine that can be added to any website or application. Search-as-you-type returns answers in less than 50 milliseconds. That's faster than the blink of an eye! Deploy in a matter of minutes. Smart presets let you start searching through your data with zero configuration. ... -
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Quickwit
Sub-second search & analytics engine on cloud storage
Sub-second search & analytics engine on cloud storage. Quickwit is the fastest search engine on cloud storage. Quickwit has an Elasticsearch-compatible Ingest-API to make it easier to migrate your log shippers (Vector, Fluent Bit, Syslog, ...) to Quickwit. However, we only support ES aggregation DSL, the query DSL support is planned for Q2 2023. The core difference and advantage of Quickwit are its architecture built from the ground to search on cloud storage. ... -
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ParadeDB
ParadeDB is a modern Elasticsearch alternative built on Postgres
ParadeDB is an open-source search and analytics engine built on top of PostgreSQL. It serves as a modern alternative to Elasticsearch, offering real-time search capabilities for update-heavy workloads. By leveraging PostgreSQL's robustness, ParadeDB provides a scalable and efficient solution for full-text search and analytics. -
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Fastpotify
Spotify, native and fast. One lightweight Rust app for your library
Fastpotify is a lightweight native Spotify client written in Rust with egui and librespot. It runs on Linux, macOS, and Windows without a browser engine and is designed for fast startup and low memory use. Premium users can play music locally with gapless playback, high-quality audio, normalization, and caching, while free users can still browse and search. The app can also control Spotify Connect devices and discover compatible receivers on the local network. It provides library browsing, search, recommendations, artist and album pages, playlist editing, queue management, and session resume. ... -
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HelixDB
Graph-vector database for building unified AI backends fast
...HelixDB includes built-in capabilities for embeddings, vector search, keyword search, and graph traversal, which are particularly useful for retrieval-augmented generation and agent-based systems. -
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Databend
Cloud-native open source data warehouse for analytics and AI queries
...It is designed with a separation of compute and storage, allowing compute nodes to scale independently while storing data in object storage systems. This architecture enables cost-efficient storage and elastic scaling for workloads that involve large datasets and complex queries. Databend provides a unified engine capable of handling analytics, vector search, and full-text search within a single platform. Databend supports SQL-based workflows and enables real-time data ingestion, transformation, and analysis through streaming and task orchestration features. With its cloud-native design and distributed architecture, Databend can run both as a self-hosted system or within managed environments to power data analytics, AI workloads, and large-scale data. -
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CocoIndex
ETL framework to index data for AI, such as RAG
CocoIndex is an open-source framework designed for building powerful, local-first semantic search systems. It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search... -
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pg_analytics
DuckDB-powered analytics for Postgres
...With pg_analytics installed, Postgres can query foreign object stores like AWS S3 and table formats like Iceberg or Delta Lake. Queries are pushed down to DuckDB, a high-performance analytical query engine. By transforming Postgres into a performant search and analytics engine, ParadeDB frees your team from the pain of scaling and syncing Elasticsearch. -
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Spotifast
Spotify, native and fast. One lightweight Rust app for your libraries
Search spans songs, artists, albums, playlists, podcasts, and episodes with context-sensitive actions. Spotifast was previously named Fastpotify, and the project preserves compatibility with existing settings and scripts. -
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Turso Database
Turso is an in-process SQL database, compatible with SQLite
Turso is an in-process SQL database written in Rust and designed to stay compatible with SQLite. It supports SQLite’s SQL dialect, file formats, and C API while adding newer database capabilities. The project is currently in beta, so it is best used with care and proper backups for production data. Turso includes support for concurrent writes through MVCC, change data capture, and faster schema management. It offers bindings and integrations across languages such as Rust, JavaScript, Go,... -
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Syncdrome
Syncdrome: Fast, smart file catalog & search for your drives
Syncdrome is a standalone tool that creates a comprehensive catalog of files from your personal hard drives. It enables rapid keyword searches, delivering results in a style similar to web search engines. When a drive is connected, you can directly open files with your system’s default applications. The application lets you designate a working folder for storing the file catalog, which can even be located on a cloud storage service like Dropbox or Google Drive for easy access from any... -
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bloop
bloop is a fast code search engine written in Rust
Bloop is an AI-powered code search tool designed to help developers quickly find relevant code snippets, documentation, and usage examples within large repositories. It provides natural language search capabilities and AI-enhanced recommendations for improving code discovery. -
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Voy
A WASM vector similarity search written in Rust
Voy is a lightweight WebAssembly-based vector similarity search engine written in Rust that enables semantic search capabilities directly in browser or edge environments. It is designed to operate on embeddings generated from text or other data, allowing applications to perform meaning-based search rather than simple keyword matching. The engine uses efficient data structures such as k-d trees to index vectors and perform fast nearest-neighbor queries, making it suitable for real-time search experiences. ...
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