arke-terminal 0.1.113

Local-first RAG with built-in eval.

Arke Terminal

Local RAG pipeline with built-in evaluation. Postgres + pgvector for hybrid search, Ollama for embeddings and inference.

Install

pip install arke-terminal

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

Copy .env.example to .env and fill in your values:

cp .env.example .env

Usage

arke digest
arke ingest <file.jsonl>
arke ask "query"
arke sweep <fast|medium|thorough> --limit 30

Library

from arke import Arke, Config

cfg = Config(database_url="postgresql://...", api_key="sk-...")

async with Arke(cfg) as m:
    await m.ingest("./corpus")
    answer = await m.ask("What is X?")

rows = await Arke.sweep(cfg, "medium", limit=30)

Input format

JSONL, one document per line:

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

Only content is required. source falls back to the file stem, created_at to the current time, metadata to {}.