config.json

{
    "name_prefix": "surface",
    "chunking": {
        "chunk_size": [1000],
        "overlap_size": [200]
    },
    "embedding_models": [
        {
            "type": "sentence-transformer",
            "model_name": "all-mpnet-base-v2"
        }
    ],
    "ef_construction": [400],
    "ef_search": [400],
    "language":{
        "analyzers": {
            "analyzer_name": "en.microsoft",
            "index_analyzer_name": "",
            "search_analyzer_name": "",
            "char_filters": [],
            "tokenizers": [],
            "token_filters": []
        },
        "query_language": "en-us"
    },
    "rerank": "TRUE",
    "rerank_type": "crossencoder",
    "llm_re_rank_threshold": 3,
    "cross_encoder_at_k": 4,
    "crossencoder_model": "cross-encoder/stsb-roberta-base",
    "search_types": [
        "search_for_manual_hybrid",
        "search_for_match_Hybrid_multi",
        "search_for_match_semantic"
    ],
    "retrieve_num_of_documents": 5,
    "metric_types": [
        "fuzzy",
        "bert_all_MiniLM_L6_v2",
        "cosine",
        "bert_distilbert_base_nli_stsb_mean_tokens",
        "llm_answer_relevance",
        "llm_context_precision"
    ],
    "azure_oai_chat_deployment_name": "gpt-35-turbo",
    "azure_oai_eval_deployment_name": "gpt-35-turbo",
    "openai_temperature": 0,
    "search_relevancy_threshold": 0.8,
    "data_formats": "all",
    "eval_data_jsonl_file_path": "./artifacts/eval_data.jsonl",
    "chunking_strategy": "basic"
}