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Make your knowledge queryable without giving it up

Syft Space lets you create AI-powered endpoints that others can query while your data stays under your control. Syft Space Dashboard

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What is Syft Space?

A Syft Space is a decentralized node operated by anyone with knowledge to share: a publisher, a research lab, a journalist, an institution, or just an individual. You add your documents, connect an AI model, and create endpoints that others can query. You control who gets access, what they can ask, and whether they pay.

Privacy-first

Your data never leaves your control

Selective sharing

Share insights, not raw data

Monetization

Set your own pricing and access rules

AI-powered

Make any document collection searchable with AI
Think of it like creating an API for your knowledge - others get answers without seeing your source material.

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Architecture

Syft Space is a full-stack application that creates a bridge between your private data and AI models, allowing controlled access through secure endpoints. Syft Space Architecture Core components:
  • Frontend: Vue 3 web interface for management and configuration
  • Backend: FastAPI server handling requests, policies, and data processing
  • Vector databases: Local or remote databases (Weaviate, ChromaDB) for document indexing
  • AI models: Integration with OpenAI and any OpenAI-compatible providers (Ollama, vLLM, etc.)
  • SyftHub integration: Optional publishing to the decentralized knowledge network
The system automatically provisions Docker containers for local vector databases and provides a unified API for querying across different data sources and AI models.

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How it works

Build your knowledge hub with four core components:
1

Datasets

Upload documents or connect vector databases. Files are automatically indexed for AI search.
2

Models

Connect OpenAI or any OpenAI-compatible provider (Ollama, vLLM, etc.).
3

Endpoints

Combine datasets and models into queryable RAG endpoints anyone can use.
4

Policies

Control access, set rate limits, and configure pricing for your endpoints.
[Your Data] + [AI Model] → [Queryable Endpoint] + [Your Rules] = [Controlled Knowledge Sharing]

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Get started

Quickstart

Get up and running in 5 minutes

Installation

Choose your installation method

Core concepts

Understand how Syft Space works

API reference

Explore the REST API

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Use cases

Make your content AI-queryable for your audience while maintaining attribution and control.
Turn your papers and notes into a searchable knowledge assistant that others can query.
Build AI-powered customer support from your documentation without exposing internal details.
Create searchable knowledge hubs from scattered wikis, docs, and guides.
Share valuable insights from your data without exposing the underlying information.
Learn more about specific use cases in the Use Cases section.

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Part of the Syft network

A Space connects to SyftHub — a decentralized registry where knowledge providers meet knowledge seekers. How it works:
  • Discovery: Others find your published endpoints through SyftHub
  • Querying: Users can search and query across multiple Spaces
  • Attribution: Every contribution is tracked and credited automatically
  • Open architecture: Built on open protocols — no single point of control
The network grows stronger as more Spaces join, but each Space maintains full autonomy over its data and policies.

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