Next-Generation AI Search Engine

Search the live web.
Synthesize answers.

Oryn is an open-source, citation-first search assistant that crawls references dynamically, routing requests to powerful LLMs for clear, verified answers.

Experience Real-Time Web RAG

Select a question to inspect Oryn's background crawling and synthesis pipeline

oryn.ai/search?q=fusion
Q
What is the latest net energy gain in fusion (Q=1.8)?
Execution Steps
Analyzing intent...
Searching web for 'fusion energy breakthroughs 2026'...
Crawling NIF and plasma physics journals...
Synthesizing answer with sources...
Synthesized Response
In early 2026, researchers achieved a record net energy gain of Q=1.8 at the National Ignition Facility using an upgraded hohlraum target design [1]. Concurrently, commercial magnet advancements have enabled compact tokamaks to maintain stable plasma temperatures exceeding 150 million degrees Celsius [2].

Engineered for Accuracy

We combine deep indexing algorithms with rapid inference pipelines for verified knowledge generation.

Live Web Crawling

Queries search engines dynamically, fetches target pages, and parses DOM trees instantly to pull latest context.

Supabase Sync

Connects directly to your own Supabase PostgreSQL database for persistent, encrypted message storing and query caching.

Multi-Model Routing

Routes queries to Groq-hosted open-weights models like Llama 3.3 for high-speed, cost-effective inference.

How Oryn Answers Questions

A four-step pipeline structured to avoid LLM hallucinations

1

Query Analysis

The engine identifies query intent, extracts keywords, determines whether it needs web search, and reformulates query variations.

2

Parallel Crawling

Fetches direct search links. We spin up asynchronous page parsers to download raw text and meta structures from the top-ranking web domains.

3

Context Compacting

Parsed documents are ranked. Only relevant text fragments are packed into the LLM system prompt context, discarding useless markup and ads.

4

Synthesized Output

The LLM crafts the answer while forcing strict inline referencing. The result is a readable response backed by clickable references.

Why Choose Oryn?

How we compare to traditional search engines and static LLMs

FeatureOryn AITraditional SearchStatic LLM
Answers Complex QueriesYes (Synthesized)No (List of links)Yes (But cuts off)
Live Web AccessYes (Real-time crawling)Yes (Indexed sites)No (Static cutoff)
Inline CitationsYes (Clickable sources)NoRarely (Unreliable)
Privacy ControlYes (Own DB config)No (Ad-tracked profiles)No (Data training)

Flexible Access Tiers

Get started for free or upgrade for professional search limits

Hobby

For casual everyday queries

$0 / forever
  • Llama 3.1 Inference models
  • Standard Live Web Search
  • 100 Queries per day
Sign Up Free
Most Popular

Creator

For power users and developers

$12 / month
  • Access to Llama 3.3 70B models
  • Deep multi-page site crawling
  • Unlimited chat history storage
  • Priority Groq API bandwidth
Go Creator

Enterprise

For corporate internal query lines

Custom
  • Self-hosted Docker configurations
  • Dedicated API key integrations
  • SLA response uptime metrics
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Frequently Asked Questions

Everything you need to know about the engine operations