The agentic LLM that never trusts itself.
Built on Retrieval-First Reasoning Architecture (RFRA) — Alethea refuses to answer factual queries without verified source citations. It classifies every query, retrieves live data, builds a Knowledge Graph, and reasons only over verified data. When it can't verify — it abstains. Works with any OpenAI-compatible LLM API or local model.
Four custom benchmarks measuring the core architectural properties of Alethea against a raw LLM baseline with zero RFRA components.
Alethea never answers a factual question from its own weights. Instead, it retrieves verified information from the web, structures it into a Knowledge Graph, and reasons only over that verified data before responding. Every claim is traceable to a source.
The Hard Retrieval Gate is the core innovation — not a soft preference toward retrieval, but an architectural block. The model's context window is physically empty until retrieval fills it. There is no bypass path.
| Feature | Alethea V1 | Standard RAG | Perplexity | Raw LLM |
|---|---|---|---|---|
| Hard architectural gate | ✓ Yes | ✗ No | ✗ No | ✗ No |
| KG memory layer | ✓ Yes | ✗ No | ✗ No | ✗ No |
| Output validator | ✓ Yes | ~ Partial | ✗ No | ✗ No |
| Abstention on failure | ✓ Yes (+0.9) | ~ Sometimes | ~ Sometimes | ✗ Never |
| Formally benchmarked | ✓ PSR/AA/KFS/RIS | ~ RAGAS only | ✗ Closed | ✗ No |
| Open source | ✓ 100% | ✓ Yes | ✗ No | ~ Varies |
| Runs locally | ✓ Full local | ~ Partial | ✗ Cloud only | ~ Varies |
| OpenAI-compatible API | ✓ Drop-in | ~ Varies | ✗ No | ✓ Yes |
Alethea is free, open source, and self-hostable.
Drop it into any pipeline that accepts an OpenAI-compatible endpoint.