zettelforge/config.example.yaml at master · rolandpg/zettelforge · GitHub

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# ============================================================================
# ZettelForge Configuration — Example
# ============================================================================
#
# Copy this file to config.yaml and uncomment the sections you need.
# Only include settings you want to change — everything else uses defaults
# from config.default.yaml.
#
# Quick start:
#   cp config.example.yaml config.yaml
#
# ============================================================================


# ── Scenario 1: Default (zero-config, SQLite + LanceDB) ──────────────────
#
# Everything works out of the box. SQLite for notes/KG/entities,
# LanceDB for vector search. No Docker, no external services.
#
# storage:
#   data_dir: ~/.amem
#
# backend: sqlite
#
# embedding:
#   url: http://127.0.0.1:11434
#   model: nomic-embed-text-v2-moe:latest
#
# llm:
#   model: qwen2.5:3b


# ── Scenario 2: Air-gapped / offline ──────────────────────────────────────
#
# No network access. Ollama runs locally with pre-downloaded models.
# SQLite backend (default) needs no external services.
#
# storage:
#   data_dir: /opt/zettelforge/data
#
# embedding:
#   url: http://127.0.0.1:11434
#   model: nomic-embed-text


# ── Scenario 3: Team server (TypeDB via zettelforge-enterprise) ───────────
#
# Requires `pip install zettelforge-enterprise`.
# TypeDB on a dedicated server, Ollama on a GPU box.
#
# backend: typedb
#
# typedb:
#   host: typedb.internal.lan
#   port: 1729
#   database: team_cti
#   username: analyst
#   password: changeme
#
# embedding:
#   url: http://gpu-box.internal.lan:11434
#   model: nomic-embed-text-v2-moe:latest
#
# llm:
#   model: qwen2.5:7b
#   url: http://gpu-box.internal.lan:11434


# ── Scenario 4: Azure deployment ───────────────────────────────────────────
#
# ZettelForge as App Service, SQLite on Azure Files mount.
# Optional: TypeDB as Azure Container Instance (requires enterprise extension).
#
# storage:
#   data_dir: /home/site/data    # Azure Files mount
#
# embedding:
#   url: http://localhost:11434   # Ollama sidecar container
#   model: nomic-embed-text
#
# llm:
#   model: qwen2.5:3b
#   url: http://localhost:11434


# ── Scenario 5: High-throughput ingestion ──────────────────────────────────
#
# Processing large volumes of threat reports. Permissive extraction,
# aggressive caching, relaxed governance.
#
# extraction:
#   max_facts: 10
#   min_importance: 1
#
# retrieval:
#   default_k: 25
#   similarity_threshold: 0.10
#   max_graph_depth: 3
#
# cache:
#   ttl_seconds: 600
#   max_entries: 4096
#
# governance:
#   min_content_length: 1
#
# logging:
#   level: WARNING
#   log_causal: false


# ── Scenario 6: Strict analysis mode ──────────────────────────────────────
#
# High-confidence answers only. Tight filtering, authoritative sources only.
#
# extraction:
#   max_facts: 3
#   min_importance: 7
#
# retrieval:
#   default_k: 5
#   similarity_threshold: 0.50
#   entity_boost: 3.0
#   max_graph_depth: 1
#
# synthesis:
#   default_format: synthesized_brief
#   tier_filter:
#     - A
#
# logging:
#   level: DEBUG
#   log_intents: true