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Superlinked Inference Engine

by Superlinked@superlinkedSan Francisco, California, United StatesNo ratings yet

Managed Superlinked Inference Engine API for embeddings, reranking, extraction and chat with small models

Visit superlinked.com
Tool type
Managed small-model inference API
Made for
AI teams moving off large LLMs
Runs on
Hosted API with Python, TypeScript and HTTP clients
Calls go to api.superlinked.com using a Bearer API key; no GPUs to run.
Last checked
29 Oct 2026
2 product sources

What it does

SIE Serverless is the managed, pay-per-call way to use the Superlinked Inference Engine. It exposes task-specific small models behind a hosted API at api.superlinked.com, so teams can replace expensive frontier LLM calls with models for search, reranking, extraction and chat without running GPUs themselves.

Developers authenticate with an SIE API key and call it from the Python or TypeScript SDK or plain HTTP. The service covers encode, score, extract and chat tasks across a catalog of 141 models, and an in-console playground lets you try each task before wiring it into an app.

It suits AI teams building search, RAG, document-processing or agent pipelines that want small models on a hosted endpoint. Superlinked also offers the open-source SIE server and native inference in your own clusters, which are separate routes from this managed service.

What it can do

  • Encode text or images into dense, sparse or multi-vector embeddings for semantic and hybrid search
  • Score and rerank candidate documents against a query with reranker models
  • Extract entities, relations, fields from documents, OCR text and structured output
  • Run chat on open LLMs through an OpenAI-style API
  • Try each task in a console playground before integrating

Works with

  • LangChain
  • LlamaIndex

Before you choose

  • Billing is described as pay per call, but no rates are published on the pages reviewed; confirm costs in the console before committing.
  • Model choice per task affects quality and latency, so test candidates in the playground.
  • Native inference in your own clusters and the open-source server are separate Superlinked offerings with different operations and cost.

Listed under

Get started

The Get started link opens the Superlinked console sign-up flow and playground.

  1. Sign up through the console Get started link to reach the playground.
  2. Create an API key (sk-sie-…) and set it as an environment variable rather than hard-coding it.
  3. Call the API from the Python or TypeScript SDK or via HTTP at api.superlinked.com, then check the Quickstart and Models catalog.
Sign up in the console

Plans and prices

The service is described as pay per call with no GPUs to run; verify rates and any free allowance in the console.

We couldn’t find published prices for Superlinked Inference Engine. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.