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Fix a small bug using local LLM's

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This commit is contained in:
Nielson Janné 2025-03-15 13:42:06 +01:00
parent 450a00e6fe
commit 976ccd155f
1 changed files with 2 additions and 2 deletions
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generic_rag/backend/models.py
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@ -7,7 +7,7 @@ from langchain_core.embeddings import Embeddings
from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.language_models.chat_models import BaseChatModel
from langchain_google_vertexai import VertexAIEmbeddings from langchain_google_vertexai import VertexAIEmbeddings
from langchain_huggingface import HuggingFaceEmbeddings from langchain_huggingface import HuggingFaceEmbeddings
from langchain_ollama import OllamaLLM from langchain_ollama import ChatOllama
from langchain_openai import AzureChatOpenAI, AzureOpenAIEmbeddings from langchain_openai import AzureChatOpenAI, AzureOpenAIEmbeddings
from langchain_openai import OpenAIEmbeddings from langchain_openai import OpenAIEmbeddings
@ -41,7 +41,7 @@ def get_chat_model(backend_type: BackendType) -> BaseChatModel:
return init_chat_model(model=os.environ["AWS_CHAT_MODEL"], model_provider="bedrock_converse") return init_chat_model(model=os.environ["AWS_CHAT_MODEL"], model_provider="bedrock_converse")
if backend_type == BackendType.local: if backend_type == BackendType.local:
return OllamaLLM(model=os.environ["LOCAL_CHAT_MODEL"]) return ChatOllama(model=os.environ["LOCAL_CHAT_MODEL"])
raise ValueError(f"Unknown backend type: {backend_type}") raise ValueError(f"Unknown backend type: {backend_type}")