Vector Database

orain.ai Dashboard

Your data. Your context. Instantly accessible.

Turn documents and content into intelligent, searchable knowledge

orain.ai’s vector database transforms your documents and content into structured, context-aware knowledge. Instead of keyword matching, your data is processed semantically — enabling precise answers based on meaning, not guesswork. This is the foundation for reliable AI assistants, automation, and decision-making.

Your data. Your context. Instantly accessible.

Built for real-world data — not just prompts

Upload PDFs, text files, presentations, spreadsheets, or URLs. orain.ai converts all content into vector embeddings and stores them securely in your private vector space. Your AI agents retrieve the most relevant information in real time — grounded in your actual data, not generic responses.

Your data. Your context. Instantly accessible.

Private, isolated, and fully under your control

Each vector database is isolated per workspace. Your data is never mixed with other clients and never used for shared model training. All processing happens on EU-based infrastructure, ensuring full GDPR compliance and enterprise-grade security.

Vector intelligence designed for production use

001.

Semantic Search Instead of Keywords

Retrieve information based on meaning and context — not exact wording.

002.

Multiple Data Sources

Use PDFs, documents, spreadsheets, URLs, and structured text as knowledge sources.

003.

Private Vector Spaces

Each vector database is isolated per workspace. Your data is never mixed with other clients and never used for shared model training. All processing happens on EU-based infrastructure, ensuring full GDPR compliance and enterprise-grade security.

004.

API-Based Ingestion

Upload and update content automatically via API workflows instead of manual uploads.

005.

Real-Time Retrieval

Your AI agents access the most relevant vectors instantly during conversations and workflows.

006.

Context-Aware Responses

Answers are grounded in your content, including source relevance and semantic similarity.

007.

Flexible Knowledge Structuring

Organize vectors by use case, department, product, or access level.

008.

Built for Automation

Trigger ingestion, updates, and retrieval through APIs and webhooks.

009.

GDPR-First Architecture

All vectors and source data remain in the EU and under your ownership.

Three steps to vector-powered intelligence

001.

Upload or sync content

Add documents manually or automate ingestion via API workflows.

002.

Understand meaning and relationships

orain.ai converts your content into semantic vectors optimized for retrieval.

003.

Power AI agents and automations

Your assistants fetch the most relevant information instantly — during conversations or workflows.

Frequently Asked Questions

What types of data can be stored in the vector database?

PDFs, text files, presentations, spreadsheets, documentation, and URLs.

Is the vector database shared between customers?

No. Each workspace has its own isolated vector database.

Can content be updated automatically?

Yes. Data can be ingested and updated through APIs and automated workflows.

Does orain.ai connect directly to my databases?

No. Direct database connections are not supported, but data can be synced securely via API pipelines.

Is the vector database GDPR-compliant?

Yes. All data is processed and stored on EU-based infrastructure and never used for shared model training.

Can the vector database be used for multiple AI agents?

Yes. The same vector space can power multiple assistants, use cases, and workflows.

Build AI that actually understands your data.