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fixing rag

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Aljaz Ceru
2025-08-25 17:13:15 +02:00
parent d1c59265d7
commit ac5a8476bc
80 changed files with 11363 additions and 349 deletions
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8
backend/modules/rag/main.py
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@@ -201,7 +201,7 @@ class RAGModule(BaseModule):
self.initialized = True
log_module_event("rag", "initialized", {
"vector_db": self.config.get("vector_db", "qdrant"),
"embedding_model": self.embedding_model.get("model_name", "privatemode-embeddings"),
"embedding_model": self.embedding_model.get("model_name", "intfloat/multilingual-e5-large-instruct"),
"chunk_size": self.config.get("chunk_size", 400),
"max_results": self.config.get("max_results", 10),
"supported_file_types": list(self.supported_types.keys()),
@@ -401,8 +401,8 @@ class RAGModule(BaseModule):
"""Initialize embedding model"""
from app.services.embedding_service import embedding_service
# Use privatemode-embeddings for LLM service integration
model_name = self.config.get("embedding_model", "privatemode-embeddings")
# Use intfloat/multilingual-e5-large-instruct for LLM service integration
model_name = self.config.get("embedding_model", "intfloat/multilingual-e5-large-instruct")
embedding_service.model_name = model_name
# Initialize the embedding service
@@ -421,7 +421,7 @@ class RAGModule(BaseModule):
self.embedding_service = None
return {
"model_name": model_name,
"dimension": 768 # Default dimension for privatemode-embeddings
"dimension": 1024 # Default dimension for intfloat/multilingual-e5-large-instruct
}
async def _initialize_content_processing(self):