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Superlinked

superlinked.com

SIE (Superlinked Inference Engine), an open-source server and hosted API that runs small open models for embeddings, reranking, OCR, extraction, classification, guardrails and chat behind one API.

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About Superlinked

Sending every agent task, from embedding and reranking to PDF parsing and PII redaction, to a frontier LLM is slow and expensive, while running a separate model server per task is hard to operate.

Who it’s for

  • AI teams moving search, RAG and extraction workloads from frontier LLMs to task-specific open models
  • Platform teams that want to self-host many models on one Kubernetes cluster in their own cloud

When to consider it

Consider Superlinked when you want one OpenAI-compatible API for 100+ open models (embeddings, ColBERT, rerankers, OCR, GLiNER extraction, Whisper, Qwen) that you can call serverless or self-host under Apache 2.0 with Helm and autoscaling configs.

Tradeoffs & limitations

  • SIE Serverless is pay per call and starts with $20 of free credits, no credit card required; managed in-cluster deployment backed by Superlinked engineers (Native inference) is sales-led.
  • The self-hosted engine is free under Apache 2.0, but you supply the hardware: native installs need Python 3.12 on macOS (Apple Silicon) or Linux, GPU serving uses NVIDIA CUDA Docker images, and production clusters run on Kubernetes.

SOTA overview · Documentation-based assessment · Sources & review method

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Sources & review method

Documentation-based assessment · Nov 1, 2026 · Prepared with AI assistance; not a hands-on benchmark.

Checked by SOTA · AI-assisted documentation review. Selection advice is our assessment; verify current requirements for your deployment.

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Superlinked official website

Scope: Product overview · Imported Nov 1, 2026

SIE (Superlinked Inference Engine), an open-source server and hosted API that runs small open models for embeddings, reranking, OCR, extraction, classification, guardrails and chat behind one API.

Based on official pages and announcements checked on 2026-11-01. No hands-on test, performance benchmark or popularity ranking is claimed.