Tiny RAG Doc

1.RAG 简介

• RAG技术简介
• 大模型 RAG 基础：信息检索、文本向量化及 BGE-M3 embedding 实践（2024）

2.Index

• Embedding模型

3.Searching

• 两阶段检索
• Rerank vs Embedding

4.Query

5.LLM

6.一些参考网址

faiss

• https://blog.csdn.net/weixin_47376915/article/details/120054314

rag

• https://docs.dify.ai/v/zh-hans/learn-more/extended-reading/retrieval-augment/retrieval
• https://mp.weixin.qq.com/s?__biz=MzkzMTI3MTg5MQ==&mid=2247484889&idx=1&sn=b43bbd2d56218fbbc1b94e8b61d89ac3&chksm=c26cc065f51b49733537025f00c6802556db78ede35db649b0d76c07cb3f60913deea9407155&scene=21#wechat_redirect

重排

• https://cloud.tencent.com/developer/article/2438375
• https://www.llamaindex.ai/blog/boosting-rag-picking-the-best-embedding-reranker-models-42d079022e83
• https://blog.csdn.net/lichunericli/article/details/136274285

句子切分：

• https://aibard123.com/digest/2024/0205/%E8%AF%A6%E8%BF%B0RAG%E7%9A%845%E6%AD%A5%E6%B5%81%E7%A8%8B%E5%92%8C12%E4%B8%AA%E4%BC%98%E5%8C%96%E7%AD%96%E7%95%A5%E4%B8%87%E5%AD%97%E9%95%BF%E6%96%87/
• https://aibard123.com/digest/2024/0326/RAG%E7%B3%BB%E5%88%9705%E5%9F%BA%E4%BA%8E%E8%AF%AD%E4%B9%89%E7%9A%84Chunk%E5%88%86%E5%89%B2/