params.cfg

[vectorstore]
# huggingface_spaces usage:
# PROVIDER = huggingface
# URL = GIZ/audit_data
# COLLECTION_NAME = docling

# direct Qdrant usage:
PROVIDER = qdrant
URL = giz-chatfed-qdrantserver.hf.space  
COLLECTION_NAME = Montrealv0.2

[embeddings]
MODEL_NAME = BAAI/bge-m3
# DEVICE = cpu

[retriever]
TOP_K = 5
SCORE_THRESHOLD = 0.6

[reranker]
MODEL_NAME = BAAI/bge-reranker-v2-m3
TOP_K = 5
ENABLED = true
# use this to scale out the total docs retrieved prior to reranking (i.e. retriever top_k * TOP_K_SCALE_FACTOR)
TOP_K_SCALE_FACTOR = 2