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Memory Model

European AI & Machine Learning Software

AI & Machine LearningEU ServersMilano, Italypaid
Headquarters
Milano, Italy
Data Protection
GDPR Compliant
Data Residency
EU Servers
Company Size
~10
About Memory Model

Memory Model is an Italian AI company building infrastructure for AI memory and retrieval-augmented generation (RAG). The platform helps developers build AI applications that can store, retrieve, and reason over large knowledge bases — essentially giving LLMs long-term memory and access to proprietary data. Memory Model provides vector storage, knowledge graph construction, and semantic search optimized for AI workloads. The platform is designed as a European alternative to US vector database companies like Pinecone and Weaviate, with EU-hosted infrastructure.

Memory Model is a European alternative to langchain, pinecone, weaviate. Pricing starts at €0.

As a European company, Memory Model is fully GDPR compliant and stores all customer data within the European Union. Your data stays in Europe, protected by strict EU privacy laws and not subject to foreign government data requests like the US CLOUD Act.

Why Choose Memory Model?

European Headquarters

Headquartered in Italy with EU data centers

GDPR Compatible

Built with privacy and data protection as core principles

No US CLOUD Act

Your data is not subject to US government access requests

European Support

Customer support in your timezone with local expertise

Key Features
Vector database for AI applications
RAG (Retrieval-Augmented Generation) infrastructure
Knowledge graph construction
Semantic search
Document ingestion and chunking
Multi-modal embedding support
Python SDK
REST API
EU-hosted infrastructure
Open-source components
Pricing

Free

€0

Development tier

Pro

Usage-based

Production workloads

Enterprise

Custom

Dedicated, SLA

Visit Memory Model for the latest pricing details.

Integrations
LangChainLlamaIndexOpenAIAnthropicHugging FacePython SDK
Company Info
Headquarters
Milano, Italy
Employees
~10
Funding
Seed stage

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