adding ollama embeddings and expanding to metadata search

This commit is contained in:
2025-10-23 06:58:34 +02:00
parent 5d964dfd54
commit 8b6d241921
11 changed files with 289 additions and 35 deletions

View File

@@ -568,7 +568,7 @@ class RAGService:
# Create collection with proper vector configuration
from app.services.embedding_service import embedding_service
vector_dimension = getattr(embedding_service, 'dimension', 384) or 384
vector_dimension = getattr(embedding_service, 'dimension', 1024) or 1024
client.create_collection(
collection_name=collection_name,