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Anytxt Searcher is a great tool that I even paid for to solve the problem of quickly retrieving queries within local documents.
So, I especially need a RAG knowledge base based on local computer documents, so that I don’t need to upload the documents to the network, and automatically synthesize the comprehensive results I want by retrieving the shard content and calling large model interfaces such as DeepSeek, which is: Anytxt + LLLM = RAG.
The software is responsible for implementing text slicing, and the large model is responsible for integrating content, all of which are based on Windows local file operations, and the user is in a non-inductive state!
I hope the author will seriously consider it, thank you, I will pay for it!Anytxt Searcher 是一个非常棒的工具软件，我甚至还为之付费了，解决了本地文档内快速检索查询的问题。
那么，我特别需要一个基于本地电脑文档的RAG知识库，这样不用将文档上传至网络，通过检索分片内容，调用DeepSeek等大模型接口，自动合成我想要的综合结果，这就是：Anytxt + LLLM = RAG.
软件负责实现文本切片，大模型负责整合内容，这一切都是基于Windows本地文件操作，用户处于无感状态下完成的！
希望作者认真考虑，感谢，我会为之付费！
