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fix(bootstrap): add Qdrant collection to registry with Qwen3 default #1110

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Merged
POWERFULMOVES merged 1 commit into from
Mar 26, 2026
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fix(bootstrap): add Qdrant collection to registry with Qwen3 default #1110

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24 changes: 24 additions & 0 deletions pmoves/bootstrap/registry.json
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Original file line number Diff line number Diff line change
Expand Up @@ -590,6 +590,30 @@
}
]
},
{
"id": "qdrant",
"name": "Qdrant Vector Database",
"description": "Vector embeddings for semantic search. Collection pmoves_chunks_qwen3 stores Qwen3-4b 3072d embeddings.",
"variables": [
{
"key": "QDRANT_COLLECTION",
"file": "pmoves/env.shared",
"prompt": "Qdrant collection name for embeddings",
"default": "pmoves_chunks_qwen3",

@chatgpt-codex-connector chatgpt-codex-connector Bot Mar 26, 2026

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P1 Badge Align Qdrant default with active embedding pipeline

Setting QDRANT_COLLECTION to pmoves_chunks_qwen3 as a global bootstrap default forces all compose services that use ${QDRANT_COLLECTION:-...} to share that collection, overriding their per-service defaults (for example pmoves/docker-compose.yml for extract-worker and hi-rag-gateway-v2). Those services can still generate non-Qwen vectors by default/fallback (pmoves/libs/providers/embedding.py defaults to gemma embedding models, and pmoves/services/hi-rag-gateway-v2/app.py falls back to all-MiniLM-L6-v2), which leads to dimension mismatch at query/ingest time and can trigger failures or collection recreation in ensure_qdrant_collection (app.py around lines 466-483). This makes a fresh bootstrap susceptible to broken retrieval unless additional model env vars are updated in lockstep.

Useful? React with 👍 / 👎.

"help": "Default collection for Qwen3-4b embeddings (3072d). Legacy: pmoves_chunks (384d).",
"required": false
},
{
"key": "QDRANT_URL",
"file": "pmoves/env.shared",
"prompt": "Qdrant endpoint URL",
"default": "http://qdrant:6333",
"help": "Docker-internal Qdrant URL.",
"required": false,
"type": "url"
}
]
},
{
"id": "jellyfin-ai",
"name": "Jellyfin AI Overlay",
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