mcp-rag.toml

# mcp-rag 配置文件示例
# 优先级: 命令行参数 > 此文件 > 默认值

[server]
docs_dir = "./test_docs"       # 文档目录路径
# chunk_size = 500             # 分块大小(字符数)
# chunk_overlap = 100          # 分块重叠(字符数)

[search]
top_k = 5                      # 返回结果数量
# bm25_weight = 0.5            # BM25 检索权重
# vector_weight = 0.5          # 向量检索权重
use_rerank = true              # 是否启用 Cross-Encoder 精排
# rerank_candidates = 20       # 精排候选数量
use_contextual = true          # 是否启用 Contextual Retrieval

[eval]
dataset = "./eval_dataset.json"  # 评测数据集路径

[model]
mode = "api"
api_key = "sk-jmemdxowneobyacxoxqyzchjvembrpibqnwawtinsjtadlnu"
api_base = "https://api.siliconflow.cn/v1"
embed_model = "BAAI/bge-large-zh-v1.5"
rerank_model = "BAAI/bge-reranker-v2-m3"

[llm]
api_base = "https://api.deepseek.com/v1"
api_key = "sk-aac1269ebe834ad59a87cbe85f0c6dc1"
model = "deepseek-chat"