Welcome to Moorcheh

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The Universal Memory Layer for Agentic AI

Moorcheh is the semantic engine that combines high-fidelity storage, stateful context, and explainable retrieval. Built specifically for agentic AI applications, Moorcheh provides a powerful foundation for building intelligent systems that can understand, remember, and reason about information.

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What Makes Moorcheh Different?

Moorcheh uses Maximally Informative Binarization (MIB) and Information-Theoretic Score (ITS) to deliver superior search accuracy and performance compared to traditional vector databases. These advanced technologies enable:

• Higher Accuracy: ITS scoring provides more nuanced relevance measurements than traditional cosine similarity
• Better Performance: MIB technology optimizes storage and retrieval for faster search results
• Explainable Results: Clear relevance labels help you understand why results are returned
• Stateful Context: Maintain conversation context and build intelligent memory systems
• High-Fidelity Storage: Preserve semantic meaning while optimizing for performance

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Traditional Vector Stores vs. Moorcheh ITS

Traditional vector stores typically use Hierarchical Navigable Small World (HNSW) graphs for indexing and rely on cosine similarity or Euclidean distance for similarity search. These systems store high-dimensional floating-point embeddings, resulting in higher storage and computational overhead. Moorcheh, in contrast, employs a Universal Relevance Score (ITS – Information Theoretical Score) that operates on binarized embeddings. This design significantly reduces storage requirements while maintaining computational efficiency. ITS maintains relevance quality equivalent to conventional vector similarity methods, despite using a more compact representation. As a result, Moorcheh delivers equivalent retrieval relevance to traditional vector stores while achieving substantial reductions in storage and operational costs, making it a cost-efficient alternative for large-scale retrieval systems.

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Ready to Get Started?

Whether you’re building AI agents, semantic search applications, or intelligent knowledge bases, Moorcheh provides the foundation you need. Join thousands of developers who are already using Moorcheh to power their AI applications.

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Get Started in 3 Steps

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API Reference

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Integrations

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Supported AI Models

Moorcheh supports 9 state-of-the-art AI models for answer generation:

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