optional semantic retrieval

src/repo_registry/web_api/app.py

@@ -11,6 +11,7 @@ from pydantic_settings import BaseSettings, SettingsConfigDict
 from repo_registry.core.service import RegistryService
 from repo_registry.llm_extraction import LLMCandidateExtractor, create_llm_connect_adapter
 from repo_registry.repo_ingestion.git import GitIngestionService
+from repo_registry.semantic import HashingEmbeddingProvider
 from repo_registry.storage.sqlite import NotFoundError, RegistryStore
 from repo_registry.web_api.schemas import (
     AbilityCreate,
@@ -60,6 +61,7 @@ class Settings(BaseSettings):
     checkout_root: str = Field(default="var/checkouts")
     llm_provider: str | None = Field(default=None)
     llm_model: str | None = Field(default=None)
+    embedding_provider: str | None = Field(default=None)
 
 
 def get_settings() -> Settings:
@@ -78,10 +80,14 @@ def get_service(settings: Settings = Depends(get_settings)) -> RegistryService:
             model=settings.llm_model,
         )
         llm_extractor = LLMCandidateExtractor(adapter)
+    embedding_provider = None
+    if settings.embedding_provider == "hashing":
+        embedding_provider = HashingEmbeddingProvider()
     return RegistryService(
         store,
         ingestion=GitIngestionService(settings.checkout_root),
         llm_extractor=llm_extractor,
+        embedding_provider=embedding_provider,
     )
 
 

src/repo_registry/web_api/schemas.py

@@ -654,6 +654,9 @@ class SearchResultResponse(BaseModel):
     capability_name: str | None = None
     evidence_level: str | None = None
     source_reference: str | None = None
+    text_score: float = 0.0
+    vector_score: float = 0.0
+    hybrid_score: float = 0.0
 
     model_config = {
         "json_schema_extra": {
@@ -673,6 +676,9 @@ class SearchResultResponse(BaseModel):
                     "capability_name": "Classify Incoming Email",
                     "evidence_level": None,
                     "source_reference": None,
+                    "text_score": 1.0,
+                    "vector_score": 0.0,
+                    "hybrid_score": 0.88,
                 }
             ]
         }