What it does

VectorShift is an AI apps and workflow automation platform that combines a no-code interface with an SDK. Teams use it to build pipelines, knowledge bases, assistants, and embedded interfaces, then wire that into internal processes without hand-building the whole LLM and VectorDB layer.

Plans

Free

Starter Free - 1 pipeline/workflow and 1,000 actions/month

Paid

from $20/month billed annually

Pricing page

Access

Starter is free and includes 1 pipeline or workflow, 1,000 actions per month, 1 interface, 1 knowledge base, and 1 integration. Paid plans continue with Standard at $20/month billed annually and Pro at $100/month.

Screenshots

VectorShift homepage with a builder for AI apps and workflows — The homepage is fairly honest about the product: it is not a single chatbot, but a builder for AI apps, workflows, and internal automations.

VectorShift pricing page with Starter, Standard, and Pro — The pricing page is useful because it shows the real limits on actions, pipelines, interfaces, and knowledge bases instead of hiding everything behind a sales form.

VectorShift docs with quickstart, pipelines, and knowledge — The docs screenshot makes the product shape clearer: pipelines, knowledge, interfaces, and API reference are separate working layers, not just marketing claims.

Usage examples

RAG assistant on top of a knowledge base

VectorShift fits well when you need to stand up a knowledge base, connect retrieval, and expose that as an interface or assistant without building a separate front end.

Documentation

Workflow with actions, interfaces, and integrations

A strong point in VectorShift is the combination of pipelines, actions, and interfaces. You are not only building the logic, but also a form, chatbot, or internal tool people can use.

Documentation

Application scenarios

Scenario: an internal support layer is built in VectorShift as a knowledge base, assistant, and lightweight interface so the team does not have to maintain a pipeline, chat layer, and wrapper separately.