Revert "feat: add local llama-cpp embedding support (#1388)"

This reverts commit c13a9ee.

Author: qin-ctx

docs/design/local-embedding-llama-cpp-design.md

@@ -33,7 +33,6 @@
 except ImportError:
     GeminiDenseEmbedder = None  # google-genai not installed
 from openviking.models.embedder.jina_embedders import JinaDenseEmbedder
-from openviking.models.embedder.local_embedders import LocalDenseEmbedder
 
 try:
     from openviking.models.embedder.litellm_embedders import LiteLLMDenseEmbedder
@@ -67,7 +66,6 @@
     "GeminiDenseEmbedder",
     # Jina AI implementations
     "JinaDenseEmbedder",
-    "LocalDenseEmbedder",
     # LiteLLM implementations
     "LiteLLMDenseEmbedder",
     # MiniMax implementations

openviking/models/embedder/__init__.py

@@ -157,22 +157,6 @@ def embed_batch(self, texts: List[str], is_query: bool = False) -> List[EmbedRes
         """
         return [self.embed(text, is_query=is_query) for text in texts]
 
-    def embed_query(self, text: str) -> EmbedResult:
-        """Embed query text with explicit retrieval-side semantics."""
-        return self.embed(text, is_query=True)
-
-    def embed_document(self, text: str) -> EmbedResult:
-        """Embed document text with explicit indexing-side semantics."""
-        return self.embed(text, is_query=False)
-
-    def embed_batch_query(self, texts: List[str]) -> List[EmbedResult]:
-        """Batch embed query texts."""
-        return self.embed_batch(texts, is_query=True)
-
-    def embed_batch_document(self, texts: List[str]) -> List[EmbedResult]:
-        """Batch embed document texts."""
-        return self.embed_batch(texts, is_query=False)
-
     async def embed_async(self, text: str, is_query: bool = False) -> EmbedResult:
         """Async embed single text.
 
@@ -191,18 +175,6 @@ async def embed_batch_async(
             results.append(await self.embed_async(text, is_query=is_query))
         return results
 
-    async def embed_query_async(self, text: str) -> EmbedResult:
-        return await self.embed_async(text, is_query=True)
-
-    async def embed_document_async(self, text: str) -> EmbedResult:
-        return await self.embed_async(text, is_query=False)
-
-    async def embed_batch_query_async(self, texts: List[str]) -> List[EmbedResult]:
-        return await self.embed_batch_async(texts, is_query=True)
-
-    async def embed_batch_document_async(self, texts: List[str]) -> List[EmbedResult]:
-        return await self.embed_batch_async(texts, is_query=False)
-
     def close(self):
         """Release resources, subclasses can override as needed"""
         pass