ankn
a5f8fb49ab
Bahn: aisupport, Analyse-O2C-C2S, awesome-bahn-mcp-servers, beam-mcp,
Confluence_Bot, db-planet-mcp-server, O2C-Harness, project-audit,
Projekt-KIQ-HP, teamlandkarte-mcp
Dhive: Jury-Voting
Privat: CV, NoteGraph (NOTE: NoteGraph needs complete redo after consolidation)
Shared: AI-Orchestrator, OrgMyLife, power_skills_and_more
Shared/references: symphony (read-only)
Bahn repos remain available as independent remotes - this monorepo
pulls them in via subtree, the originals are untouched.
2.0 KiB
2.0 KiB
description
| description |
|---|
| Help configure the Teamlandkarte matching system — weights, thresholds, similarity strategy, caching, and Azure OpenAI settings. |
$ARGUMENTS
Configuration Guide
All runtime configuration lives in config.toml. See config.toml.example for the full schema.
Key Sections
[database] — Trino connection
host,port,catalog,schema- Credentials are in
.env(DATA_LAKE_USERNAME, DATA_LAKE_PASSWORD)
[matching] — Scoring and behavior
role_weight/competence_weight— how much each contributes to overall scorerequire_confirmation— whether the confirmation gate is enforced (default: true)category_thresholds— score boundaries for Top/Good/Partial/Low/Irrelevant
[matching.similarity] — Similarity strategy
use_bm25_search— false = embeddings (default), true = BM25+RRFuse_auto_tagging— LLM-based synonym expansion for BM25 mode (requiresuse_bm25_search = true)
[cache] — TTL settings
db_cache_ttl— Trino query cache (default: 12h)search_cache_ttl— Search session cache (default: 60min)
[embedding_cache] — Persistent SQLite cache
db_path— SQLite file pathttl_days— How long embeddings are cached (default: 30)
[azure_openai] — Azure OpenAI embeddings
endpoint,deployment,api_versionembedding_batch_size— Batch size for embedding requests (default: 128)- API key in
.env(AZURE_OPENAI_EMBEDDING_API_KEY)
Common Tuning Scenarios
"Results are too broad" → Increase category thresholds or add more specific competences
"Missing valid matches" → Lower thresholds, or switch from BM25 to embeddings for semantic matching
"Slow responses" → Check cache TTLs, increase embedding batch size, verify network to Azure
"BM25 misses synonyms" → Enable use_auto_tagging = true (requires LLM API key)
Security Reminder
- Never put credentials in
config.toml - All secrets go in
.envonly config.tomlis not in version control (see.gitignore)