Embeddinghub
What is Embeddinghub?
It is a database built for machine learning embeddings. It is built with four goals in mind. Store embeddings durably and with high availability, allow for approximate nearest neighbor operations, enable other operations like partitioning, sub-indices, and averaging, and Manage versioning, access control, and rollbacks painlessly.
Embeddinghub is a tool in the Databases category of a tech stack.
Key Features
Run approximate nearest neighbor lookups, average multiple embeddings, partition tables (spaces), cache locally while training, and moreStore and index billions vectors embeddings from our storage layerCreate, manage, and rollback different versions of your embeddingsEncode different business logic and user management directly into EmbeddinghubKeep track of how embeddings are being used, latency, throughput, and feature drift over time
Embeddinghub Pros & Cons
Pros of Embeddinghub
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Cons of Embeddinghub
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Embeddinghub Alternatives & Comparisons
What are some alternatives to Embeddinghub?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
