alvis 4dfc870dd1 [Adolf] Swap cognee embedding to bge-m3 (1024-d, multilingual)
Replace nomic-embed-text (768-d) with bge-m3 (1024-d, GPU-served via the
same :11436 ollama) as cognee's embedding model, for better multilingual
recall. cognee's Qdrant collections held only P4 smoke-test fixtures (no
real conversation data — adolf-llm's cogneeSearch/cogneeAdd are still
stubs), so the stale 768-d collections were dropped and left for cognee
to recreate at 1024-d on next write, rather than migrated.

Verified: bge-m3 returns 1024-dim vectors via ollama /api/embed; after
recreating the cognee container, a remember/recall round trip (including
Russian text) produced correctly dimensioned (1024-d) Qdrant collections
and recalled the exact fact stored, then the test dataset was deleted.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LeqyaxJF2nbRXJtae2kNB2
2026-07-06 05:56:58 +00:00
2026-03-05 11:22:34 +00:00
2026-03-05 11:22:34 +00:00
2026-03-17 03:06:18 +00:00
2026-03-05 11:22:34 +00:00

Agap Home Server

Docker Compose configurations for the Agap self-hosted home server infrastructure.

Services

  • Immich (immich-app/) — Photo management and backup (port 2283)
  • Gitea (gitea/) — Self-hosted Git server with web UI (port 3000, SSH 222)
  • Open WebUI (openai/) — AI chat interface with Ollama, GPU-accelerated (port 3125)

Quick Start

Start Immich (main service)

docker compose up -d

Start Gitea (from gitea/ directory)

cd gitea
docker compose up -d

Start Open WebUI (from openai/ directory)

cd openai
docker compose up -d

Configuration

Environment variables are in the root .env file for Immich:

  • UPLOAD_LOCATION — where photo originals are stored
  • THUMB_LOCATION — thumbnail cache directory
  • ENCODED_VIDEO_LOCATION — transcoded video cache
  • DB_DATA_LOCATION — Postgres database directory
  • DB_PASSWORD — Postgres password

Storage

Media is stored on:

  • /mnt/media/upload — Immich originals
  • /mnt/ssd1/media/ — Immich thumbnails, encoded video, and Postgres database
  • /mnt/misc/gitea — Gitea repositories and data

GPU Support

For GPU acceleration (Open WebUI/Ollama, Immich ML):

  1. Install NVIDIA Docker runtime: sudo ./nvidia-docker-install.sh
  2. Install CUDA toolkit: ./install-cuda.sh

Documentation

See CLAUDE.md for detailed developer instructions and Gitea wiki integration guidelines.

See the Gitea wiki for infrastructure documentation (storage, network, services setup).

Description
No description provided
Readme 8.1 MiB
Languages
JavaScript 49%
Python 39.8%
Shell 6.9%
Dockerfile 1.8%
HTML 1.5%
Other 1%