examples

Examples

A project gallery of full end-to-end applications built with SIE. Each project lives in its own subdirectory. Clone it, run it, learn from it.

New to SIE? Start with the quickstart notebook : encode, score, and extract in 5 minutes, then pick a project below.

Gallery

Use this table to pick the right starting point. "Runnable" means the example has code, sample data or data-fetch instructions, and a documented local path. "Advanced" examples may require a custom SIE image or third-party service keys.

Example	Best for	SIE primitives	Setup	Status
Self-hosted product search in 5 min	Showing the fastest local product-search path with extraction, embeddings, and reranking	extract, encode, score	Local SIE Docker image, Python or TypeScript app	Runnable
Find the best retrieval strategy for your RAG	Picking a production RAG retrieval pipeline by evals on real financial documents	encode, score	SIE endpoint, Turbopuffer key, optional SIE API key for auth-enabled clusters	Runnable benchmark
Rank exact primary-source passages	Testing a reranker on verbatim SEC, CMS, NTSB, and Supreme Court excerpts, where the closest wrong passage answers half the question	score	SIE endpoint with Qwen3 Reranker 4B; fetch.py pulls the recorded run, score.py reproduces the scores with no key	Runnable recorded example
Extract custom entities from primary sources	Changing zero-shot labels across financial, healthcare, rail-safety and legal text, with the two labels that came back empty left visible	extract	SIE endpoint with GLiNER multi v2.1; fetch.py pulls the recorded run, score.py reproduces the counts with no key	Runnable recorded example
Answer a question from a passage, and quote the sentence you used	Checking a generated answer for its citation, its length and whether it declines a question the passage cannot answer	chat/completions	SIE Cloud with Qwen3.8 27B; fetch.py pulls the recorded run, score.py reproduces the numbers with no key	Runnable recorded example
Write public status updates from internal incident reports	Checking a generated status update for leaked hosts, tickets, staff names and the wrong outage window	chat/completions	SIE Cloud with Qwen3.8 27B; fetch.py pulls the recorded run, score.py reproduces the number with no key	Runnable recorded example
Build a citable graph from filing text	Turning SEC, NHTSA and FDA paragraphs into entities and relations with offsets, and seeing where the relations go wrong	extract	SIE Cloud with GLiNER2; fetch.py pulls the recorded run, score.py reproduces the counts with no key	Runnable recorded example
Find the passage that answers a question	Ranking 253 regulation and documentation passages full of near misses, with query-side encoding	encode	SIE Cloud with Arctic Embed L v2.0; fetch.py pulls the recorded vectors, score.py ranks them with no key	Runnable recorded example
Pick the passage that meets every condition	Separating same-page near-duplicates with ColBERT late interaction, scored token by token	encode	SIE Cloud with GTE-ModernColBERT-v1; fetch.py pulls the recorded token vectors, score.py scores them with no key	Runnable recorded example
Fill a JSON Schema from a messy document	Reading NHTSA complaints, SEC officer filings and GSA listings into schema-valid JSON, with the two wrong fields left visible	chat/completions	SIE Cloud with Qwen3.8 27B; fetch.py pulls the recorded run, score.py reproduces the number with no key	Runnable recorded example
Route a request to the action it asks for	Scoring held-out SNIPS requests against seven action labels, and showing what happens when the labels overlap	extract	SIE Cloud with GLiClass; fetch.py pulls the recorded run, score.py reproduces the number with no key	Runnable recorded example
Answer several triage questions about one record, each with a probability	Asking CVE descriptions typed pick-one and yes-or-no questions against NVD analyst gold, with a fast, a smart and an LLM lane, and the questions no model passed reported rather than shown	extract, chat/completions	Self-hosted SIE with GLiFormer, GLiClass, Laya, GLiNER2 and Qwen3 4B; fetch.py pulls the recorded run, score.py reproduces the figures with no key	Runnable recorded example
Check text for a planted instruction	Gating an agent on one label over twelve inputs from BIPIA, InjecAgent, LLMail-Inject, AgentDojo and XSTest, misses included	extract, chat_completions	SIE Cloud with GLiGuard and Granite Guardian; fetch.py pulls the recorded run, score.py reproduces both models' numbers with no key	Runnable recorded example
Expand a query into matchable terms	Comparing SPLADE, which adds terms the text never used, with bge-m3 sparse, which does not	encode	SIE Cloud with SPLADE++ and bge-m3; fetch.py pulls the recorded vectors, score.py reproduces the figures with no key	Runnable recorded example
Get the exact character offsets to mask	Naming your own ID types, measuring against published gold PII spans, and showing what a 384-word window costs	extract	SIE Cloud with GLiNER multi PII; fetch.py pulls the recorded run, score.py reproduces the figures with no key	Runnable recorded example
Read the numbers off a dashboard that has no API	Reading twelve Superset, Argo CD, Airflow, Kubernetes, GitLab and Jaeger screens into schema-valid JSON	generate	SIE Cloud with Qwen3.8 27B; fetch.py pulls the recorded run and the screenshots, score.py reproduces 328 of 335 with no key	Runnable recorded example
Read a scanned form into typed fields, then check the answer	Extracting typed fields from FAA, OSHA, NIST, USPS and invoice pages under a strict JSON schema, then measuring whether a second call that never sees the page is worth making	generate, chat/completions	SIE Cloud with Qwen3.8 27B; fetch.py pulls the recorded run and the page images, score.py reproduces 180 of 223 and 204 after the second call with no key	Runnable recorded example
Ask a question about an image	Putting one specific question to equipment photographs, hazmat placards, wiring drawings and analogue dials	generate	SIE Cloud with Qwen3.8 27B; fetch.py pulls the recorded run and the images, score.py reproduces 10 of 12 with no key	Runnable recorded example
Locate every object a prompt can name in a photo	Grounding open-vocabulary phrases to boxes on nine photos, with the two boxes it puts on the wrong object kept visible	extract	SIE Cloud with Grounding DINO; fetch.py pulls the recorded run, score.py reproduces the number with no key	Runnable recorded example
Sort product photos against labels you write yourself	Scoring damaged and whole parts against your own label wording, and the cheaper model that gets four of sixteen wrong	score, encode	SIE Cloud with Qwen3 VL Reranker and SigLIP 2; fetch.py pulls the recorded run, score.py reproduces the number with no key	Runnable recorded example
Find a spoken part number in a noisy recording	Transcribing twelve clips and searching them for the doses, figures and statute numbers that matter, the five misses kept	extract	SIE Cloud with Whisper large v3 turbo; fetch.py pulls the recorded run, score.py reproduces the word error rate with no key	Runnable recorded example
Find the image that matches a whole request	Ranking six product photos against one written query, where a colour-only and a category-only match sit just behind the right answer	encode	SIE Cloud with SigLIP so400m; fetch.py pulls the recorded run, score.py reproduces the ranking with no key	Runnable recorded example
Search document pages without flattening them to text	Ranking 712 report pages by what they look like, against a text baseline that buries the answer	encode	Self-hosted SIE with ColPali v1.3; fetch.py pulls the recorded run, score.py reproduces both rankings with no key	Runnable recorded example
Search licensed images with text	Recomputing a six-image hard-negative ranking from full SigLIP vectors	encode	SIE endpoint with SigLIP; standalone uv project	Runnable verified example
Find SOTA embedding models by MTEB task	Searching ~14K HF embedding models ranked by task-specific MTEB scores	encode, score	Backend seed script plus Vite frontend; falls back without a live SIE endpoint	Runnable
Private fine-tuned compliance RAG	Hot-loading a domain LoRA encoder and a custom token-pruning adapter on SIE	encode, score, extract	Custom SIE Docker image, GPU recommended	Advanced runnable example
Build a multimodal wine recommender with OCR	Combining preference-based retrieval with OCR-driven label detection in one UI	encode, score, extract	Docker Compose app plus local SIE endpoint; API key optional for unauthenticated SIE	Runnable demo
Build a multi-modal product classifier with embeddings	Evaluating text, image, NLI, and reranking approaches for hierarchical product taxonomy classification	encode, score, generate	SIE endpoint, Shopify dataset prep via uv run scripts, standalone uv project	Runnable evaluation example
Read a page image, then read the Markdown	Measuring an OCR stage and a schema-filling stage separately, so a wrong field can be traced to the stage that lost it	extract, chat/completions	SIE Cloud with LightOnOCR-2-1B and two Qwen3 models; fetch.py pulls the recorded run, score.py reproduces the figures with no key	Runnable recorded example
Swap an OCR model with one identifier change	Driving recognition (VLM-OCR), structured extraction (Donut), and zero-shot NER (GLiNER) through the same extract call by swapping the model ID	extract	Docker Compose plus Node UI, no API key required, hosted version on Hugging Face Spaces	Runnable demo
A Stripe Link checkout with an SIE fraud-risk gate	Wiring all three SIE primitives into a pre-authorization fraud-risk gate that runs in the same round-trip as the Stripe PaymentIntent	extract, encode, score	Docker Compose plus Node UI; Stripe test-mode keys optional (runs in mock mode without them)	Runnable demo
Vision-first document RAG	Retrieving and answering questions over a multi-tenant page corpus by looking at page images (including scanned drawings) with OCR kept out of the score path	encode, chat/completions, score (optional)	GPU SIE deployment required: ColQwen2.5 retriever + Qwen3.5-4B answer model (runs on the generation bundle)	Runnable demo
Multi-model contract review with the OpenAI Agents SDK	Running an OpenAI Agents SDK agent whose every model call (triage, orchestration, vision, OCR, embeddings, rerank, entity extraction, text-to-SQL, reasoning, and a safety guardrail) is served by one SIE cluster, each step on the right catalog model, with per-model observability	generate, encode, score, extract	GPU SIE deployment required; standalone uv project; real contracts fetched from CUAD (CC BY 4.0)	Runnable demo
Turn difficult PDFs into Markdown	Preserving tables, reading order, headings, and form labels across real financial, academic, and government PDFs	extract	SIE endpoint with docling; fetch.py pulls the recorded run, verify-run checks 61 digests and relations offline; source PDFs fetched at run time	Runnable evaluation example
Review a published flood-insurance appeal	Separating FEMA's covered stone-removal scope from excluded barge, handling, disposal, and yard costs	extract, score, generate	GPU SIE deployment; standalone uv project; bundled public FEMA appeal and policy	Runnable agent example
Trace a restated filing figure	Following one reported figure through an original filing, corrective notice, and restatement while preserving source status	extract, encode, score	SIE endpoint; standalone uv project; public SEC facts and saved verified evidence	Runnable agent example
Reproduce CMS's L1851 documentation finding	Tracing a published six-month requirement against a seven-month face-to-face encounter and CMS's recoupment result	extract, encode, score	SIE endpoint; standalone uv project; exact CMS published example	Runnable agent example
Reconstruct a bearing failure	Turning the NTSB's three East Palestine detector readings into a cited temperature and alert sequence without adding a new causal claim	extract, encode, score	SIE endpoint; standalone uv project; exact NTSB illustrated report spread	Runnable agent example
Make a shelf gap auditable	Detecting one empty facing, deriving its notice and shelf-label crops by geometry, then preserving OCR evidence	extract	GPU SIE deployment; standalone uv project; CC0 supermarket shelf image and recorded direct-checkpoint evidence included	Runnable evaluation example
Turn threat reports into cited ATT&CK mapping suggestions	Mapping full reports against active ATT&CK 19.2, with a separate pinned AnnoCTR linking benchmark and analyst review for every suggestion	generate, extract, encode, score	GPU SIE deployment; standalone uv project; pinned MITRE ATT&CK and AnnoCTR sources	Runnable agent benchmark
A behavioural gate that catches hijacked AI agents by their actions, not their credentials	Judging a proposed AI agent action against that agent's own learned baseline in real time, before it reaches a downstream system	encode, score, extract	Docker Compose (gate + self-hosted SIE + n8n + mock downstream), no API key required	Runnable demo
Measure whether translation or paraphrase removes a text watermark	Watermarking text with a key you control, then measuring how much of the signal survives an Arabic round trip versus a paraphrase; all recorded runs readable offline	generate, extract	SIE endpoint for new transformations (hosted or local MADLAD path); standalone uv project; saved experiment data included	Runnable evaluation example

For docs publishing, lead with the quickest runnable demos, then use the benchmark and evaluation examples for deeper technical users.

Submit your project

We welcome contributions. To add your project to the gallery:

1. Create a subdirectory with a short, descriptive name (e.g. wikipedia-search/, pdf-rag/)
2. Include a README that covers:
   • What the project does
   • How to run it (docker compose up, a script, etc.)
   • Which SIE features it uses (encode, score, extract, cluster, etc.)
3. Keep it self-contained - include a requirements.txt or package.json, a docker-compose if needed, and sample data or instructions to fetch it
4. Open a PR against main

Recorded evidence

Examples that reproduce a number published on a task page keep their code here and their evidence in the public HuggingFace dataset superlinked/sie-task-evidence, one folder per task holding inputs/, calls.json and manifest.json. Each example's fetch.py downloads that folder at a pinned dataset revision, never main, so a later upload cannot change what the example scores.

The trade is deliberate: a reader cannot verify by cloning alone, and in return nobody needs an API key or any inference spend to re-derive a published number.

Review workflow

Maintainers apply the coderabbit-direct label to eligible PRs that change content under examples/** or the root README.md. The label opts the PR into CodeRabbit review and allows CodeRabbit to formally approve it once review comments are resolved and required checks pass.

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.

Links

• SIE overview
• API reference
• Deployment guide
• All models