add support for Replicate (#1980)

### What problem does this PR solve?

#1853  add support for Replicate

### Type of change


- [x] New Feature (non-breaking change which adds functionality)

---------

Co-authored-by: Zhedong Cen <cenzhedong2@126.com>

rag/llm/embedding_model.py

@@ -561,7 +561,7 @@ class TogetherAIEmbed(OllamaEmbed):
             base_url = "https://api.together.xyz/v1"
         super().__init__(key, model_name, base_url)
 
-      
+
 class PerfXCloudEmbed(OpenAIEmbed):
     def __init__(self, key, model_name, base_url="https://cloud.perfxlab.cn/v1"):
         if not base_url:
@@ -580,4 +580,22 @@ class SILICONFLOWEmbed(OpenAIEmbed):
     def __init__(self, key, model_name, base_url="https://api.siliconflow.cn/v1"):
         if not base_url:
             base_url = "https://api.siliconflow.cn/v1"
-        super().__init__(key, model_name, base_url)
+        super().__init__(key, model_name, base_url)
+
+
+class ReplicateEmbed(Base):
+    def __init__(self, key, model_name, base_url=None):
+        from replicate.client import Client
+
+        self.model_name = model_name
+        self.client = Client(api_token=key)
+
+    def encode(self, texts: list, batch_size=32):
+        from json import dumps
+
+        res = self.client.run(self.model_name, input={"texts": dumps(texts)})
+        return np.array(res), sum([num_tokens_from_string(text) for text in texts])
+
+    def encode_queries(self, text):
+        res = self.client.embed(self.model_name, input={"texts": [text]})
+        return np.array(res), num_tokens_from_string(text)