fix threshold -> 0.0

app/database/pinecone.py

@@ -26,7 +26,7 @@ GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
 DEFAULT_LIMIT_K = int(os.getenv("PINECONE_DEFAULT_LIMIT_K", "10"))
 DEFAULT_TOP_K = int(os.getenv("PINECONE_DEFAULT_TOP_K", "6"))
 DEFAULT_SIMILARITY_METRIC = os.getenv("PINECONE_DEFAULT_SIMILARITY_METRIC", "cosine")
-DEFAULT_SIMILARITY_THRESHOLD = float(os.getenv("PINECONE_DEFAULT_SIMILARITY_THRESHOLD", "0.75"))
+DEFAULT_SIMILARITY_THRESHOLD = float(os.getenv("PINECONE_DEFAULT_SIMILARITY_THRESHOLD", "0.0"))
 ALLOWED_METRICS = os.getenv("PINECONE_ALLOWED_METRICS", "cosine,dotproduct,euclidean").split(",")
 
 # Export constants for importing elsewhere

app/models/rag_models.py

@@ -12,7 +12,7 @@ class ChatRequest(BaseModel):
     similarity_top_k: int = Field(6, description="Number of top similar documents to return (after filtering)")
     limit_k: int = Field(10, description="Maximum number of documents to retrieve from vector store")
     similarity_metric: str = Field("cosine", description="Similarity metric to use (cosine, dotproduct, euclidean)")
-    similarity_threshold: float = Field(0.75, description="Threshold for vector similarity (0-1)")
+    similarity_threshold: float = Field(0.0, description="Threshold for vector similarity (0-1)")
     
     # User information
     session_id: Optional[str] = Field(None, description="Session ID for tracking conversations")