Cleora AI: Efficient Entity Embeddings

Cleora AI

3.5 | 207 | 0
Type:
Open Source Projects
Last Updated:
2025/07/08
Description:
Cleora AI is an open-source model for learning stable entity embeddings from relational data. Fast, scalable, and efficient.
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Overview of Cleora AI

Cleora AI is a general-purpose open-source model designed for the efficient and scalable learning of stable and inductive entity embeddings. It excels at handling heterogeneous relational data, making it ideal for a wide range of applications.

Key Features:

  • Efficient Learning: Cleora utilizes fast, iterative random projections for unparalleled performance.
  • Scalability: Embed extremely large graphs and hypergraphs on a single machine.
  • Inductive Embeddings: Compute vectors for new entities on-the-fly, addressing the cold start problem.
  • Heterogeneous Data Support: Ingests relational tables with typed categorical and array columns.

Use Cases:

  • Recommender Systems: Generate product embeddings for personalized recommendations.
  • Knowledge Graph Analysis: Analyze relationships between entities in knowledge graphs.
  • Fraud Detection: Identify suspicious patterns and anomalies based on entity interactions.
  • Social Network Analysis: Understand connections and communities within social networks.

Cleora is built in Rust for extreme parallelism and performance, ensuring production-readiness and ease of use. The embeddings are stable, updatable, and can be combined across datasets, making it a powerful tool for any data scientist or machine learning engineer.

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