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Learn Curiosity Workspace

Build, query, and extend the graph + search + AI platform.

Deploy and manage

Roll out Curiosity to Docker, Kubernetes, or your cloud of choice.

Build enterprise AI apps

Ship domain-specific AI apps with custom UIs, endpoints, and connectors.

Model your data as typed nodes and edges with stable keys.

Query with text, vector, and hybrid retrieval — permission-aware.

Ground LLMs, embeddings, and agents in your own graph.

Compose UIs in C# with our front-end component library.

Transpile C# to JavaScript and run it in the browser.

Test, ingest, sync, and promote workspaces from any shell.

Open Source Projects

Browse every open-source project Curiosity maintains.

Support

Introduction to Custom Endpoints

Custom endpoints allow you to extend the functionality of your workspace by writing hosted C# functions that handle incoming HTTP requests.

In this section

Creating Endpoints

Defining paths, authorization, and execution modes.

Endpoint Tokens

Managing authorization for external calls.

Calling Endpoints

Invoke your code from external apps or the front-end.

Execution Scopes

Built-in objects and methods available in your code.

Importing Endpoint Code

Sharing helpers across endpoints and AI tools with //ImportEndpoint.

Auto-generated Helpers

Strongly typed helpers to access node types and fields.

Searching from Endpoints

CreateSearchAsUserAsync and CreateSearchAndFacetsAsUserAsync.

Similarity & Vector Search

Vector indexes, Similar(), StartAtSimilarTextAsync(), and the multi-signal similarity engine.

Security Best Practices

Protecting your data and endpoints.

Graph Query Language

The full IQuery interface reference for endpoints, shell, and data connectors.

Debugging

Testing and troubleshooting endpoint logic.

Referenced by

AI Agents