城市租房生存指南
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prompt-optimizer/packages/core/src/services/template/defaults.ts at 964a8676fc29279613d8774ea1e195c5a0c93d7e · linshenkx/prompt-optimizer
prompt 优化步骤
stepfun-ai/GOT-OCR-2.0-hf · Hugging Face
看起来很牛逼的 OCR
facebookresearch/nougat: Implementation of Nougat Neural Optical Understanding for Academic Documents
PDF OCR
qarmin/czkawka: Multi functional app to find duplicates, empty folders, similar images etc.
清理老家硬盘里的重复图片
baehyunsol/ragit: git-like rag pipeline
SaiAkhil066/DeepSeek-RAG-Chatbot: 100 % FREE, Private (No Internet) DeepSeek’s Advanced RAG: Boost Your RAG Chatbot: Hybrid Retrieval (BM25 + FAISS) + Neural Reranking + HyDe🚀
OOMOL
工作流 ide
README.md
日语群群友的示例 RAG 代码
GitHamza0206/simba: Portable KMS (knowledge management system) designed to integrate seamlessly with any Retrieval-Augmented Generation (RAG) system
Cinnamon/kotaemon: An open-source RAG-based tool for chatting with your documents.
本地 RAG
GoAccess - 可视化 Web 日志分析工具
GoAccess 是一款开源的且具有交互视图界面的实时 Web 日志分析工具,通过你的 Web 浏览器或者 *nix 系统下的终端程序(terminal)即可访问。
能为系统管理员提供快速且有价值的 HTTP 统计,并以在线可视化服务器的方式呈现。
rag-web-ui/rag-web-ui: RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
agno-agi/agno: Agno is a lightweight framework for building multi-modal Agents
成熟的 pdf 索引 RAG
Radicle
去中心化代码托管
Raft
动画解析 raft
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ocrmypdf/OCRmyPDF: OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
佐々木さき出演のAV映画をオンラインで見る
Aphelion
bosun-ai/swiftide: Fast, streaming indexing, query, and agent library for building LLM applications in Rust
chroma-core/chroma: the AI-native open-source embedding database
嵌入数据库,封装好的,可以做数据存储部分
deepseek-ai/DeepSeek-V3
phidatahq/phidata: Build multi-modal Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI.
IntelLabs/RAG-FiT: Framework for enhancing LLMs for RAG tasks using fine-tuning.
(15 封私信 / 87 条消息) 大模型知识库rag框架,比如langchain chatchat,fastgpt等等,哪个效果比较好? - 知乎
好心得,基本把技术栈都讲完了
rustsbi/Agent: RustSBI Specialized Domain Knowledge Quiz LLM
Nihil
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huihut/interview: 📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.