arke-terminal 0.1.120

Local-first RAG with built-in eval.

Arke Terminal

AI document search for legal teams. Privilege-safe, on-premise.

Cloud AI breaks attorney-client privilege (United States v. Heppner, Hamid v SSHD). Arke runs on your server. Your documents never leave your network.

Hybrid search (semantic + keyword) over your documents. Ask questions, get answers with source references. Click a source to open it in your default application.

Quick start (Docker)

docker compose up --build

Opens dashboard at localhost:8000. Pulls models automatically on first run.

Quick start (local)

Requires Python 3.12+, Postgres with pgvector, and Ollama.

pip install arke-terminal
cp .env.example .env   # fill in DATABASE_URL and DATA_PATH
arke ingest ./your-documents
arke serve

CLI

arke ingest <path>                       # index documents
arke ask "query"                         # search from terminal
arke serve                               # start dashboard + API
arke sweep <fast|medium|thorough> -l 30  # run eval benchmark

Library

from arke import Arke, Config

cfg = Config(database_url="postgresql://...", data_path="./docs")

async with Arke(cfg) as engine:
    await engine.ingest("./docs")
    result = await engine.ask("What are the termination clauses?")
    print(result.answer)
    for hit in result.hits:
        print(hit.chunk.source, hit.similarity)

Input formats

Plain text (.txt) — loaded directly, source = relative path from root.

JSONL — one document per line:

{"content": "...", "source": "optional", "created_at": "2026-04-01T12:00:00Z", "metadata": {}}

Only content is required.