ai-flow improvement / add langchain

services/core-api/src/config.py

@@ -52,6 +52,7 @@ class Settings(BaseSettings):
 
     # Model Configuration
     default_model: str = "gemma:7b"
+    agent_model: str = "mistral:7b"  # Must support tool calling
     lightweight_models: str = "gemma:2b,gemma:7b"
     heavy_models: str = "mistral:7b,gemma2:9b,mixtral:8x7b"
     code_models: str = "codestral:latest,codegemma:latest"
@@ -73,9 +74,9 @@ class Settings(BaseSettings):
     qdrant_collection_documents: str = "core_api_documents"
     qdrant_collection_user_facts: str = "core_api_user_facts"
 
-    # Embeddings
-    embedding_model: str = "sentence-transformers/all-MiniLM-L6-v2"
-    embedding_dimension: int = 384
+    # Embeddings (using Ollama - no local models needed)
+    embedding_model: str = "nomic-embed-text"  # Ollama embedding model
+    embedding_dimension: int = 768  # nomic-embed-text dimension
     embedding_batch_size: int = 32
 
     # Infrastructure Management (from credentials.py)