Return an empty array when request en empty embedding

src/haiku/rag/embeddings/ollama.py

@@ -7,6 +7,8 @@ from haiku.rag.embeddings.base import EmbedderBase
 class Embedder(EmbedderBase):
     async def embed(self, text: str | list[str]) -> list[float] | list[list[float]]:
         client = AsyncOpenAI(base_url=f"{Config.OLLAMA_BASE_URL}/v1", api_key="dummy")
+        if not text:
+            return []
         response = await client.embeddings.create(
             model=self._model,
             input=text,

src/haiku/rag/embeddings/openai.py

@@ -6,6 +6,8 @@ from haiku.rag.embeddings.base import EmbedderBase
 class Embedder(EmbedderBase):
     async def embed(self, text: str | list[str]) -> list[float] | list[list[float]]:
         client = AsyncOpenAI()
+        if not text:
+            return []
         response = await client.embeddings.create(
             model=self._model,
             input=text,

src/haiku/rag/embeddings/vllm.py

@@ -9,6 +9,8 @@ class Embedder(EmbedderBase):
         client = AsyncOpenAI(
             base_url=f"{Config.VLLM_EMBEDDINGS_BASE_URL}/v1", api_key="dummy"
         )
+        if not text:
+            return []
         response = await client.embeddings.create(
             model=self._model,
             input=text,

src/haiku/rag/embeddings/voyageai.py

@@ -6,6 +6,8 @@ try:
     class Embedder(EmbedderBase):
         async def embed(self, text: str | list[str]) -> list[float] | list[list[float]]:
             client = Client()
+            if not text:
+                return []
             if isinstance(text, str):
                 res = client.embed([text], model=self._model, output_dtype="float")
                 return res.embeddings[0]  # type: ignore[return-value]