Superlinked

What is Superlinked?

Superlinked makes SIE, the Superlinked Inference Engine, which serves small open models for everyday AI tasks such as search, reranking, document extraction, classification and guardrails. SIE is open source under the Apache 2.0 license.

Key capabilities of Superlinked

• Serverless API: Hosted API with usage-based pricing and no GPUs to manage.
• Native Inference: SIE Cluster runs in your own cloud, with Superlinked engineers helping operate it.
• SIE Local: The open-source server, runnable on a laptop or GPU VM, including offline.
• 149 models: A catalog of open models for retrieval and extraction tasks.
• Framework integrations: Nine integrations, including Chroma, Qdrant, Weaviate, LangChain and LlamaIndex.
• Multi-cloud deployment: AWS, Google Cloud, Azure and Alibaba Cloud.

How Superlinked works

Developers choose a model and call SIE through the serverless API, run SIE Local on their own machine, or deploy SIE Cluster in their own cloud. The engine serves embeddings, rerankers and extraction models behind one interface, so retrieval pipelines can swap models easily.

Who uses Superlinked?

Engineers building search, retrieval-augmented generation and document processing pipelines use Superlinked. Teams that need data to stay in their cloud use the Native Inference option. The vendor lists SOC 2 Type 2 compliance and US or EU data options for Serverless.

Superlinked pricing

SIE Local is free and open source. Serverless is usage-based, and Native Inference requires contacting sales. Superlinked also offers free hosted capacity through an inference grant application for selected projects. Published rates are not listed on the main page.

Superlinked alternatives

Hugging Face hosts a much larger model catalog and offers inference endpoints, with broader scope. Amazon SageMaker is a general ML platform for training and deploying models in AWS. ZenML is an MLOps pipeline framework rather than an inference engine.