单独配置embedding模型

This commit is contained in:
mousongzhe
2026-04-21 13:21:23 +08:00
parent e9d61b5d9d
commit 2d2de45d5a
2 changed files with 11 additions and 4 deletions

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@@ -61,11 +61,14 @@ decay:
# --- Embedding / 向量化配置 --- # --- Embedding / 向量化配置 ---
# Uses embedding API for semantic similarity search # Uses embedding API for semantic similarity search
# 通过 embedding API 实现语义相似度搜索 # 通过 embedding API 实现语义相似度搜索
# Reuses the same API key (OMBRE_API_KEY) and base_url from dehydration config # You can configure embedding independently from dehydration.
# 复用脱水配置的 API key 和 base_url # If api_key is omitted, reuses the same API key (OMBRE_API_KEY) and base_url from dehydration config
# 你可以把 embedding 独立配置;若 api_key 留空,复用脱水配置的 API key 和 base_url
embedding: embedding:
enabled: true # Enable embedding / 启用向量化 enabled: true # Enable embedding / 启用向量化
model: "gemini-embedding-001" # Embedding model / 向量化模型 model: "gemini-embedding-001" # Embedding model / 向量化模型
# base_url: "https://generativelanguage.googleapis.com/v1beta/openai"
# api_key: ""
# --- Scoring weights / 检索权重参数 --- # --- Scoring weights / 检索权重参数 ---
# total = topic(×4) + emotion(×2) + time(×1.5) + importance(×1) # total = topic(×4) + emotion(×2) + time(×1.5) + importance(×1)

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@@ -34,8 +34,12 @@ class EmbeddingEngine:
dehy_cfg = config.get("dehydration", {}) dehy_cfg = config.get("dehydration", {})
embed_cfg = config.get("embedding", {}) embed_cfg = config.get("embedding", {})
self.api_key = dehy_cfg.get("api_key", "") self.api_key = (embed_cfg.get("api_key") or dehy_cfg.get("api_key") or "").strip()
self.base_url = dehy_cfg.get("base_url", "https://generativelanguage.googleapis.com/v1beta/openai/") self.base_url = (
(embed_cfg.get("base_url") or "").strip()
or (dehy_cfg.get("base_url") or "").strip()
or "https://generativelanguage.googleapis.com/v1beta/openai/"
)
self.model = embed_cfg.get("model", "gemini-embedding-001") self.model = embed_cfg.get("model", "gemini-embedding-001")
self.enabled = bool(self.api_key) and embed_cfg.get("enabled", True) self.enabled = bool(self.api_key) and embed_cfg.get("enabled", True)