ns = params_kw.copy()
db = DBPools()
dbname = get_module_dbname('rag')
async with db.sqlorContext(dbname) as sor:
    env = request._run_ns
    userorgid = await env.get_userorgid()
    kb_id = uuid()
    name = ns.get("name", "")
    desc = ns.get("description", "")
    # 向量引擎：clip-vith14=多媒体(CLIP)，bge-m3=文本(bge-m3)。默认 clip-vith14 兼容旧数据
    emb_type = ns.get("embedding_type", "") or ns.get("embedding_engine", "")
    if emb_type not in ("bge-m3", "clip-vith14"):
        emb_type = "clip-vith14"
    await sor.sqlExe(
        "INSERT INTO knowledge_bases (id, name, description, org_id, embedding_engine, vdb_collection, doc_count, total_size, chunk_count, status, created_at) "
        "VALUES (${id}$, ${name}$, ${desc}$, ${org_id}$, ${emb}$, 'rag_collection', 0, 0, 0, 'active', NOW())",
        {"id": kb_id, "name": name, "desc": desc, "org_id": userorgid, "emb": emb_type})
    return {
        "widgettype": "urlwidget",
        "options": {"url": entire_url('/rag/knowledge_bases_list/index.ui')}
    }
return {"error": "failed"}