Solr is a mature open-source search engine that has incorporated vector search capabilities, making it relevant for enterprises looking to implement vector-based search alongside traditional keyword search.
Datastax offers a vector search solution integrated with its database platform, enabling approximate similarity search and hybrid queries for enterprise use cases.
Elasticsearch is a distributed search engine supporting various data types, including vectors, and provides scalable vector search capabilities, making it a popular choice for modern AI-powered applications. It can be extended with the k-NN plugin to provide scalable vector search using HNSW and Lucene, enabling hybrid semantic and keyword search capabilities.
Oracle's core database now includes vector search capabilities, enabling enterprises to perform scalable vector queries natively as part of their data management workflows. Oracle includes vector search capabilities in its database platform, supporting approximate KNN and hybrid search for enterprise-scale use cases.
Orama is a lightweight search engine that supports vector and hybrid search functionalities, suitable for browser, server, or edge environments.
Typesense is an open-source search engine that supports hybrid search, including vector search capabilities, providing an alternative to proprietary vector search solutions.
Solr is an open-source, multi-modal search platform built on Apache Luceneā¢. It supports full-text, vector, and geospatial search, and is designed for high reliability, scalability, and fault tolerance. Solr is widely used for powering search and navigation features in large-scale websites and applications.
Solr is open-source software licensed under the Apache License, Version 2.0, and is free to use.