# Winston — Historical Intelligence Archive > Winston is an AI-powered research interface over the Focal Point Publications (FPP) archive: 153,000+ embedded document chunks spanning books, diaries, trial transcripts, expert reports, correspondence, signals intelligence, and legal documents related to the work of historian David Irving. ## About - **URL**: https://ask.winston.study - **Archive source**: [Focal Point Publications](https://fpp.co.uk) - **Document count**: 153,216 embedded chunks - **Built by**: [irving.studio](https://irving.studio) ## How It Works Winston uses a Retrieval-Augmented Generation (RAG) pipeline: 1. User submits a natural language query 2. The system searches a ChromaDB vector database of 153,216 document chunks 3. Relevant sources are retrieved, ranked, and deduplicated 4. A language model generates an answer grounded in the retrieved sources 5. Sources are cited inline with clickable references to original documents ## Available Models - **Gemma 3 12B** (Local) — Free, runs on local GPU - **Claude Sonnet 4** (API) — ~$0.02/query, Anthropic - **Claude Opus 4** (API) — ~$0.07/query, Anthropic - **Claude Haiku 3.5** (API) — ~$0.003/query, Anthropic ## Document Types in the Archive - Books and manuscripts (Churchill's War, The Destruction of Dresden, Hitler's War, etc.) - Trial transcripts (Irving v Lipstadt, Nuremberg) - Personal diaries (1978–2007) - Expert reports (Evans Report, Longerich Report) - Signals intelligence (CSDIC transcripts, Ultra decrypts) - Correspondence and letters - Articles and website posts from fpp.co.uk ## API - `GET /api/models` — List available models - `POST /api/query/stream` — Streaming query endpoint (body: `{"question": "...", "model": "local|sonnet|opus|haiku"}`, returns SSE with sources and token events) - `GET /api/health` — Health check ## Important Notes - This is an AI research tool. All answers should be verified against primary sources. - The archive reflects the published works and collected documents of David Irving. - Sources are retrieved from embedded document chunks, not generated. ## Links - [FPP Archive](https://fpp.co.uk) - [irving.studio](https://irving.studio) - [Winston Terminal](https://ask.winston.study) --- © Focal Point Publications. All rights reserved. Built by irving.studio.