ENGINE v0.4.2 · LIVE

Read once.
Cite forever.

Drop in a 400-page contract, a research archive, or your entire employee handbook. Ask a question. Get an answer with the exact paragraph attached.

NO CREDIT CARD · 100 FREE QUERIES / MONTH
Loremfile document intelligence interface
SOURCE
Q4-report.pdf · p.14
TRUSTED BY TEAMS ATATRIUM LABSNORTHWINDPRISM/COHELIOOBELISKKILN STUDIO
02 · MEASURED

Specs that survive a procurement review.

99.94%
Retrieval accuracy on benchmark
1536
Embedding dimensions
< 2s
Median answer latency
25MB
Max document size
03 · CAPABILITIES

Six primitives. Zero magic.

Each module ships with a spec sheet, an SLA, and a rollback path. We built this for engineers, lawyers, and analysts who get audited.

01

Ingest anything

PDF, DOCX, TXT, Markdown. We parse, chunk, and embed every page at 1536 dimensions.

02

Cited answers

Every response links back to the exact source document and section. No black-box hallucinations.

03

23ms retrieval

pgvector + HNSW indexes. Median similarity search over 100k chunks finishes before you blink.

04

Row-level isolation

Postgres RLS guarantees your workspace data never leaks across tenants. Audited monthly.

05

Versioned chunks

Re-upload to update without losing chat history. Old citations stay resolvable forever.

06

Multi-turn memory

Conversations carry context across questions. Refine, drill down, follow threads.

04 · PROTOCOL

Three steps from upload to answer.

01

Upload

Drag files into your workspace. We parse, OCR if needed, and chunk at semantic boundaries.

02

Index

Each chunk gets a 1536-dim embedding. HNSW indexes are built in under 4 seconds per MB.

03

Ask

Type a question. We retrieve top-K chunks, ground the LLM, and return cited prose in under 2 seconds.

05 · FIELD REPORTS

What teams say after week two.

Replaced four hours of Ctrl-F per week. Citations are what won me over.

Maren Voss
Legal Counsel · Atrium Labs

The retrieval is shockingly good. Our compliance audit took 40% less time.

Devesh Rao
Head of Risk · Northwind

I uploaded twelve years of board minutes. It found a clause we forgot existed.

Sasha Kline
Chief of Staff · Prism/Co

Engineering loved it. Postgres + pgvector under the hood means we can self-host later.

Tobias Lund
CTO · Helio

The cited-source UI builds trust with our team in a way other tools never did.

Rae Okonkwo
Knowledge Lead · Obelisk

Onboarded our whole studio in 90 minutes. Now it answers our brand-guideline questions.

Mateo Brun
Studio Director · Kiln Studio
06 · QUESTIONS

Asked frequently. Answered precisely.

Which file formats are supported?+
PDF, DOCX, plain text, and Markdown today. EPUB and HTML are on the Q1 roadmap.
How do you handle scanned PDFs?+
We run OCR with Tesseract 5 before chunking. Hand-written scans currently fall back to text-only sections.
Where is data stored?+
Documents live in encrypted object storage. Vector chunks live in your dedicated Postgres schema with RLS enforced at the row level.
Can I delete a document?+
Yes. Deleting a document removes all chunks, embeddings, and source citations within 60 seconds.
What LLM powers answers?+
Gemini 2.5 Pro by default, with optional routing to Claude 3.5 Sonnet for complex reasoning tasks.
Is there a free tier?+
Yes. 100 AI credits per month, 5 documents, and 100 MB of storage. No credit card required.
Do you train on my data?+
No. Your documents and queries are never used to train models. Ever.
How do I export my data?+
Every workspace ships with a one-click export to JSON-LD bundle, including documents, chunks, and chat history.

Stop searching.
Start citing.

Open a workspace. Upload your first document. Get your first cited answer in under five minutes.