curiosity

Comparison · AI assistants

Curiosity and Vectara
Retrieval as a service, or a graph of records

Curiosity structures your records into a graph; Vectara serves retrieval over documents.

Their deployment Managed or private deployment Their data model Retrieval over documents Our deployment Cloud or your own servers Our residency EU, or your own

Your data · your environment

Who each tool is for

Different problems, honestly stated

Curiosity

For industrial and regulated teams whose knowledge sits in engineering systems and structured records, where the answer depends on how those records connect, and where the deployment has to run on their own infrastructure.

Vectara

A platform for grounded answers and agents over documents, offered as a managed service and in private deployments, with a focus on grounded answers and hallucination detection. Developers build their applications on its API.

How Curiosity compares

Where the boundary falls

Vectara is a strong retrieval service for developers. Curiosity models the entities and relationships in structured records too, and ships the connectors, permissions and interface around them.

Built for the industrial estate

General assistants are tuned for cloud collaboration tools. Curiosity connects engineering systems, data lakes, network drives and proprietary sources.

Structured context, not a chat layer

The graph models entities and relationships, so answers reason over how records connect rather than over retrieved passages.

On your infrastructure

On premises or private cloud, with data residency you control and the model of your choice.

Side by side

Feature comparison

The same five questions, answered for both.

QuestionCuriosityVectara

Deployment

Cloud or self-hosted, ready to use

Managed or private deployment

Data model

Managed context layer and knowledge graph

Retrieval over documents

Industrial fit

Built for industrial and enterprise teams

Developer platform, general

Data reach

70+ systems connected, and yours through a connector you write

Documents you send

Residency

EU hosted, or entirely your own infrastructure

Vendor cloud or yours

Customization

What your team can change

Your own code, interface, data model and configuration. Vectara as its own documentation described it in October 2026. Where it says Not available, the vendor documents no such capability.

QuestionCuriosityVectara

Your own code

C# endpoints, AI tools and tasks, compiled in Studio

Python lambda tools in a gVisor sandbox

Your own interface

Your own front end in C#, deployed from git

Headless, embeddable chat widget, your own UI

Data model

Typed node and edge schemas you define

Corpora with typed metadata filter attributes

Configuration as code

Every change committed to git, pushed to your remote

Agents and tools defined as JSON via API

APIs and SDKs

REST API, C# and Python library, connector SDK

REST API, Python SDK

AI integration

What AI can build and reach

Whether AI can build on it, who reviews the result, and which models it runs. Vectara as its own documentation described it in October 2026.

QuestionCuriosityVectara

AI that builds

Sudo drafts endpoints, tools, schemas and screens

io drafts agent configurations from a description

Review before it applies

Every change a diff a person approves, in a sandbox

io proposal waits for Accept in Console

Model choice

Any major provider, or an OpenAI compatible endpoint

Anthropic, OpenAI, Gemini, or bring your own LLM

Models on your servers

Open weights on your servers, or air gapped

On premises and air gapped, with on premises models

Assistant permissions

Built in tools search as the user, per record

Document ACLs enforced per user at retrieval

Agent protocols

MCP server and an OpenAI compatible API

MCP client, A2A, OpenAI compatible chat completions

At Airbus, we developed the next generation of customer support AI assistance tools with Curiosity, enhancing our technical support’s ability to access and navigate vast data from multiple sources, including millions of documents.

Services Innovation Team

Airline Services at Airbus

Your data. Your infrastructure.

Connected knowledge for AI systems