Skip to content

fix: rag retrieval #189

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
vizsatiz merged 1 commit into from
Dec 15, 2025
Merged

fix: rag retrieval #189

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 6 additions & 1 deletion wavefront/server/modules/knowledge_base_module/knowledge_base_module/embeddings/llm.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@
from flo_ai.helpers.llm_factory import LLMFactory
from flo_ai.llm import Gemini
from db_repo_module.models.llm_inference_config import LlmInferenceConfig
from flo_ai.models.agent import LLMConfigModel


class LLMModelFunc:
Expand All @@ -15,7 +16,11 @@ def _create_llm_instance(self, config: LlmInferenceConfig):
Returns:
LLM instance
"""
return LLMFactory.create_llm({'provider': 'rootflo', 'model_id': config.id})
config = LLMConfigModel(
provider='rootflo',
model_id=config.id,
)
Comment thread
vishnurk6247 marked this conversation as resolved.
return LLMFactory.create_llm(config)
Comment thread
vishnurk6247 marked this conversation as resolved.

async def generate_response(
self,
Expand Down
Loading