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rag improvements

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This commit is contained in:
Aljaz Ceru
2025-09-23 15:26:54 +02:00
parent 354b43494d
commit f8d127ff42
30 changed files with 817 additions and 2428 deletions
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24
backend/app/services/embedding_service.py
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@@ -28,9 +28,19 @@ class EmbeddingService:
await llm_service.initialize()
# Test LLM service health
health_summary = llm_service.get_health_summary()
if health_summary.get("service_status") != "healthy":
logger.error(f"LLM service unhealthy: {health_summary}")
if not llm_service._initialized:
logger.error("LLM service not initialized")
return False
# Check if PrivateMode provider is available
try:
provider_status = await llm_service.get_provider_status()
privatemode_status = provider_status.get("privatemode")
if not privatemode_status or privatemode_status.status != "healthy":
logger.error(f"PrivateMode provider not available: {privatemode_status}")
return False
except Exception as e:
logger.error(f"Failed to check provider status: {e}")
return False
self.initialized = True
@@ -75,6 +85,12 @@ class EmbeddingService:
else:
truncated_text = text
# Guard: skip empty inputs (validator rejects empty strings)
if not truncated_text.strip():
logger.debug("Empty input for embedding; using fallback vector")
batch_embeddings.append(self._generate_fallback_embedding(text))
continue
# Call LLM service embedding endpoint
from app.services.llm.service import llm_service
from app.services.llm.models import EmbeddingRequest
@@ -163,4 +179,4 @@ class EmbeddingService:
# Global embedding service instance
embedding_service = EmbeddingService()
embedding_service = EmbeddingService()