rag

A comprehensive collection of LangGraph implementations, tutorials, and advanced AI workflows covering Agentic RAG systems, MCP (Model Context Protocol) development, and practical AI application patterns.

通用女仆机器人本地版 Rust 服务

一个多智能体协作应用平台，支持多策略 Agent 调度、多工具编排、RAG 检索增强、会话记忆与执行过程持久化，能够按业务场景动态组织多智能体分工协作，完成复杂任务拆解、工具调用与结果汇聚，提升运维和分析场景的自动化与智能化水平 项目wiki：https://zread.ai/OWWZO/ai-agent

Using LlamaIndex, Redis, and OpenAI to chat with PDF documents. Supplementary material for blog post on Microsoft Developer Blog

This repo aims to help developers to get into the genAI topic quicker by automating AI Core and HANA Vector Engine provisioning and configuration with Terraform Provider for SAP BTP.

All the code and materials

AutoBrowse is an autonomous AI agent that can perform web browsing tasks.

GraphRAG Server

Research feedback grounded in the papers that define your field

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.

AI chat, workflow automation, semantic search (RAG), LLM Wiki (OKF) powered by Google Gemini. Works on both desktop and mobile.

AI Engineering Specially Topics- Agentic AI & GenAI Explanation

AgC is the open-core platform that powers Open Agentic Compute — a new compute substrate purpose-built for deploying, running, and orchestrating AI agents at scale.

Complete Zero-to-Hero Guide for Vibe Coding, AI-Assisted Development, Local LLMs, Frontend, Backend, DevOps, Cloud, Hosting, Debugging, Deployment, and AI-Native Software Engineering.

I put all my exploration around AI in reproducible notebooks in this repository

The fastest Office document library for Python, Rust, Go, JS/TS, C# and WASM. DOCX, XLSX, PPTX, DOC, XLS, PPT. Up to 100× faster than python-docx/openpyxl/python-pptx. 100% pass rate on valid Office files. MIT/Apache-2.0.

wxpath - declarative web crawling with XPath; a Web Query Language (WQL)

This repository is home to all the Jupyter Notebooks required for MongoDB's GenAI Developer Day.

Local-first desktop AI workbench for roleplay, multi-character chat, long-form writing, RAG, MCP tools, plugins, and local models.

Engineering deterministic, production-grade systems around non-deterministic LLMs — FSM, durable execution, retries, DAGs, agent runtimes, model routing, edge inference, RAG, memory, multi-agent orchestration, security, and observability. 14 runnable proof-of-concept phases.