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AWS Cloud Plugin for Elasticsearch
The main features of elastic/elasticsearch-cloud-aws are: Data Management, Search Engines.
Projects with overlapping indexed features include: ankane/searchkick — Searchkick is an integration library and wrapper that connects application models to search engines such as… activeloopai/hub — Hub is a multimodal AI data lake and vector database designed for storing and querying embeddings, text, audio, and… activerecord-hackery/ransack — Ransack is an object-based search library for Active Record models that provides a form-driven framework for building… addresscloud/aws-lambda-docker-rasterio — AWS Lambda Container Image with Python Rasterio for querying Cloud Optimised GeoTiffs. ahmed-ali/jsonexport — JSONExport is a multi-language code generator and JSON schema converter that transforms JSON data structures into… activeloopai/deeplake — DeepLake is AI data infrastructure consisting of a multimodal data lake, a hybrid search engine, and a serverless…
Searchkick is an integration library and wrapper that connects application models to search engines such as Elasticsearch and OpenSearch. It functions as a search index synchronizer, automatically mirroring database records to a search server to enable full-text and vector retrieval. The project provides a high-level interface for implementing keyword search, semantic vector search, and hybrid search. It distinguishes itself through the ability to combine traditional keyword matching with vector embeddings using reranking and fusion techniques to improve precision. The library covers the end
Hub is a multimodal AI data lake and vector database designed for storing and querying embeddings, text, audio, and images. It functions as a dataset version control system and a machine learning data streaming engine to support large-scale model training. The system utilizes a serverless PostgreSQL vector store to index high-dimensional embeddings for semantic search. It provides a visual interface for inspecting multimodal datasets and viewing annotations such as bounding boxes and masks. The platform handles cloud-agnostic storage synchronization and implements lazy, compressed data strea
Ransack is an object-based search library for Active Record models that provides a form-driven framework for building database queries. It generates query conditions from user input through a configurable predicate system, allowing developers to filter records using simple or advanced criteria without writing SQL or relying on external dependencies. The library distinguishes itself through its predicate-based query construction, where search methods are dynamically generated from model attribute names and predicate suffixes at runtime. It wraps search parameters into a dedicated form object t
DeepLake is AI data infrastructure consisting of a multimodal data lake, a hybrid search engine, and a serverless vector database. It provides a PostgreSQL-based AI data runtime that combines multimodal storage with streaming pipelines to load and shuffle datasets from cloud storage directly into deep learning training pipelines. The system utilizes lazy indexing to store and slice images, audio, and video without loading entire files into memory. It enables retrieval-augmented generation by persisting high-dimensional embeddings in a serverless vector store and implementing hybrid search tha