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Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ .
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Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
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Store, search, rank and organize big data.
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AI-powered search engine.
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Search through billions of items for similar matches to any object, in milliseconds. Itโs the next generation of search, an API call away.
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Search our database of leaked information. All information is in the public domain and has been compiled into one search engine.
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Annoy is a C++ library with Python bindings to search for points in space that are close to a given query point.
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The technology behind Memcached Cloud is built on the proven technology powering the Redis Cloud service.
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Relational DB that uses Datalog and focuses on graphs.
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Pip-install Vector Search for your GenAI Applications.
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Relational Databases.
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TopK is a cloud-native database intended for search use cases. It comes with keyword search, vector search, and metadata filtering built-in. Easy-to-use search engine loved by developers of all skill levels.
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Sphinx was originally created for the Python documentation. It is the most recommended and well documented documentation generator. A tool that actually makes programmers want to write documentation!
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EVA AI-Relational Database System | SQL meets Deep Learning.
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ParadeDB is an ElasticSearch alternative built on Postgres, engineered for lightning-fast full text, similarity, and hybrid search.
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Unlock Your Network Potential.