AI & Machine Learning
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European Alternatives to LangChain

US framework and platform for building and operating LLM applications. Here are 3 GDPR-compliant European alternatives that keep your data in the EU.

Why Consider European Alternatives?

GDPR Compliance

Built for European privacy standards from day one

EU Data Residency

Your data never leaves European servers

No US CLOUD Act

Not subject to US government data requests

Local Support

European timezone customer support

Compare LangChain Alternatives

Company
Headquarters
Data Residency
Founded
Pricing
Open Source
Website
deepset logo
deepset
Open Source
Berlin, Germany🇪🇺 EU Available2018Custom platform pricing for production AI deployments✅ YesVisit
Milano, Italy€0❌ NoVisit
Amsterdam, Netherlands🇪🇺 EU Only€0❌ NoVisit

3 European Alternatives

deepset logo
Top Pick

deepset

Berlin, Germany
Founded 2018Custom platform pricing for production AI deployments~150 employees

Berlin sovereign AI platform for building, running, and governing production AI agents with full data and infrastructure control.

Milano, Italy
€0~10 employees

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.

Amsterdam, Netherlands
€0~15 employees

Orq.ai is a Dutch LLM operations platform that helps development teams build, test, deploy, and monitor AI-powered applications. The platform provides a centralized workspace for managing prompts, evaluating model outputs, running A/B tests, and monitoring production LLM performance. Orq.ai supports all major LLM providers and enables teams to switch between models without code changes. The platform is designed for engineering teams building AI features into their products who need observability, version control, and quality assurance for their LLM integrations.