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researchowl/.env.example
T
ChemaVXandClaude Opus 4.8 9653898366
Build & Deploy ResearchOwl / build-and-push (push) Successful in 14s
docs: alinear modelos a qwen2.5:7b + bge-m3 (iGPU activa)
Generación 3B→7B y embeddings a bge-m3 en README, CLAUDE.md, .env.example y
k8s/deployment.yaml. Corregido el default buggy de config.py: ollama_embed_model
era qwen2.5:3b (un modelo de chat) → bge-m3. Añadido OLLAMA_EMBED_MODEL donde
faltaba. Nota del host público de ollama ahora tras Authentik.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-23 09:54:58 +00:00

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# ResearchOwl — Environment Variables
# Copy to .env and fill in values
# Required
TELEGRAM_BOT_TOKEN=your_bot_token_here
TELEGRAM_ALLOWED_USERS=123456789 # your Telegram user ID
# Ollama (default points to your existing instance)
OLLAMA_URL=http://ollama.chemavx.xyz
OLLAMA_MODEL=qwen2.5:7b
OLLAMA_EMBED_MODEL=bge-m3
# Claude fallback (optional, only for premium generation)
# ANTHROPIC_API_KEY=sk-ant-...
# CLAUDE_MODEL=claude-haiku-4-5
# Storage
DB_PATH=/data/researchowl.db
# Scraping tuning
MAX_DEPTH=3 # how deep to follow links (1-5)
MAX_SOURCES=150 # hard cap on total sources
MAX_PAGES_PER_SEARCH=5
REQUEST_DELAY=1.0 # seconds between requests (be polite)
MIN_CONTENT_LENGTH=200
# Processing
CHUNK_SIZE=800
CHUNK_OVERLAP=100
QUALITY_THRESHOLD=0.4 # 0-1, lower = more permissive