---
title: Overview
description: End-to-end applications built with SIE.
canonical_url: https://superlinked.com/docs/examples
last_updated: 2026-05-20
---

Full applications built on SIE, with the pipelines, models, and evaluation results documented in each one. Every project is self-contained: clone it, run it, learn from it.

<CardGrid>
  <LinkCard title="Find the best retrieval strategy for your RAG" description="Head-to-head retrieval ablation across 7 encoder, reranker, and multi-vector pipelines on 1,854 SEC 10-K queries, ranked by NDCG@10." href="/docs/examples/benchmark" />
  <LinkCard title="Private fine-tuned compliance RAG" description="Domain-tuned LoRA encoder and a custom cross-encoder that reranks and prunes context in one forward pass, all served from one SIE cluster." href="/docs/examples/regulatory-intelligence-rag" />
  <LinkCard title="Self-hosted product search in 5 min" description="A full Amazon-style product search engine running on a laptop in 5 minutes. Uses all three SIE primitives (extract, encode, score) through three SDK calls." href="/docs/examples/ecommerce-product-search" />
  <LinkCard title="Build a multimodal wine recommender with OCR" description="A demo app that pairs preference-based wine retrieval with OCR-based label detection. Shows extract, encode, and score wired into one user-facing flow." href="/docs/examples/wine-recommender" />
  <LinkCard title="Find SOTA embedding models by MTEB task" description="Describe your task in plain language and search across ~14K Hugging Face embedding models, ranked by task-specific MTEB scores." href="/docs/examples/semantic-hf-model-search" />
  <LinkCard title="Build a multi-modal product classifier with embeddings" description="A structured evaluation of NLI, text retrieval, image retrieval, and cross-encoder reranking on Shopify's hierarchical product taxonomy." href="/docs/examples/taxonomy-classification" />
  <LinkCard title="Swap an OCR model with one identifier change" description="A multi-model OCR demo: recognition VLM, end-to-end document model, and zero-shot NER all driven by the same extract call. Only the model ID changes between calls." href="/docs/examples/document-ocr" />
</CardGrid>

## Submit your project

We welcome community examples. To add yours:

1. Create a subdirectory in [`examples/`](https://github.com/superlinked/sie/tree/main/examples) with a short name (e.g. `wikipedia-search/`, `pdf-rag/`).
2. Include a README covering what it does, how to run it, and which SIE features it uses.
3. Keep it self-contained: include `requirements.txt` or `package.json`, a docker-compose if needed, and sample data or instructions to fetch it.
4. Open a PR against `main`.

Projects can be anything: a search engine, a RAG pipeline, a benchmark, a migration guide, a CLI tool. If it uses SIE, it belongs here.