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Published directory entries matching your search.
Qdrant is an open-source vector search engine written in Rust, providing fast and scalable vector similarity search with a convenient API. It supports metadata filters stored in JSON, hybrid search combining dense and sparse vectors, and multivector retrieval. It is available as the Qdrant Vector Search Engine, Qdrant Cloud, and Qdrant Hybrid Cloud.
Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
Free Vector helps edit, convert, generate, search, or organize images and visual assets.
vector4free helps edit, convert, generate, search, or organize images and visual assets.
VectorStock helps edit, convert, generate, search, or organize images and visual assets.
MongoDB is a document-oriented operational database that stores data in flexible JSON-like documents. The documentation describes built-in query capabilities including geospatial search, lexical search and vector search, and the platform page lists Atlas use cases such as vector search and stream processing.
Vearch is a cloud-native distributed vector database for similarity search of embedding vectors in AI applications. It supports hybrid vector search and scalar filtering, replication, elastic scaling, RESTful APIs, and SDKs for Python, Go, Java and Rust. It integrates with frameworks including LangChain and LlamaIndex and can be deployed via Kubernetes or Docker Compose.
Faiss is a library for efficient similarity search and clustering of dense vectors, containing algorithms that search sets of vectors of any size. It is written in C++ with complete wrappers for Python/numpy, with some algorithms implemented on the GPU, and is developed primarily at Meta's Fundamental AI Research group.
pgvecto.rs is an open-source tool that provides scalable, low-latency, hybrid-enabled vector search for PostgreSQL. It is designed to enhance vector search capabilities without modifying the core database system, per its official GitHub repository.
Vald is a highly scalable distributed vector search engine. It is hosted on GitHub and provides documentation on installation using Helm, requirements, and usage. The project focuses on delivering a scalable solution for vector search.
A public catalog of Earth science raster and vector datasets that can be imported into a script environment with a single click. It also accepts uploaded raster or vector data for private use or sharing in scripts. Datasets cover satellite imagery, elevation models, land cover, climate, atmospheric measurements and demographic topics.
Natural Earth provides free vector and raster map data at 1:10m, 1:50m, and 1:110m scales, developed as a resource for making custom maps. Vector data comes in ESRI shapefile format and raster data in TIFF format, both using the WGS84 datum. Attributes include ranked feature names and map design details such as river width and country colors.
VectorSurv is a vector-borne disease surveillance system. Public health and vector control agencies use the Gateway to manage and analyze surveillance and control data, and each agency keeps privileges to manage its own data and user accounts. VectorSurv Maps shows past and present surveillance results for arboviruses and invasive mosquitoes. A RESTful API lets users integrate VectorSurv data with other software.
Search licensed photos, illustrations, vectors, video, audio and templates.
Search licensed photos, vectors, illustrations, video and music by topic and style.
Search stock photos, illustrations, vectors, footage and audio from global contributors.
Search photos, vectors, illustrations, icons, templates and other design assets.
Search licensed photos, vectors, illustrations, video clips, music and sound effects.
Easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
SeekStorm, associated with the name FAROO, is an open-source vector and lexical search engine written in Rust. It is offered as an embeddable library, a self-hosted server, or a managed cloud service. The system provides fast hybrid search with features such as facets, filters, ranking, and typo tolerance. SeekStorm targets use cases including e-commerce, documentation, applications, and AI agent retrieval, positioning itself as a permissive alternative to services like Algolia and Elasticsearch.
Search page for free stock photos, illustrations, vectors, and royalty-free visual media.
Chroma is open-source search infrastructure for AI under Apache 2.0. It supports vector, full-text, regex and metadata search, built on object storage. Chroma Cloud offers serverless, scalable deployment with usage-based pricing.
Chroma - Open-source search and retrieval database for AI applications. Vector, full-text, regex, and metadata search. or Cloud available.
Accord.MachineLearning is a NuGet package, part of the Accord.NET Framework, that contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models, and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. Version 3.8.0 targets .NET Standard 1.4 and .NET Framework 3.5.
