All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.

Basic RAG demo built on top of llamaindex-cli

PDFStract - Extract, Chunking and Embedding Layer in Your RAG Pipeline - Available as CLI - WEBUI - API

Conversion from Excel to structured JSON (tables, shapes, charts) for LLM/RAG pipelines, and autonomous Excel reading/writing by AI agents via CLI and MCP integration.

A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.

GRACE (Graph-RAG Anchored Code Engineering): open Agent Skills for contract-driven AI code generation with semantic markup, knowledge graphs, and support for Claude Code, Codex CLI, and Kilo Code.

Blazing-fast CLI tool for developers to find documentation, code snippets, and answers instantly, online or offline with or without LLM and RAG integration.

AI assistant with chat, workflow automation, and semantic search (RAG). Powered by Gemini API or CLI tools.

RocketRAG is a high-performance Retrieval-Augmented Generation (RAG) system designed with a focus on speed, simplicity, and extensibility. Built on top of state-of-the-art libraries, it provides both CLI and web server capabilities for seamless integration into any workflow.

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Local RAG as a simple CLI, for standalone use or as a gptme tool

A Gemini CLI extension for interfacing with an Obsidian vault with local first RAG capabilities

Open-source toolkit for responsible AI: CLI + SDK to scan code, collect evidence, and generate model cards, risk files, evals, and RAG indexes.

在RAG技术中，嵌入向量的生成和匹配是关键环节。本文介绍了一种基于CLIP/BLIP模型的嵌入服务，该服务支持文本和图像的嵌入生成与相似度计算，为多模态信息检索提供了基础能力。

Local Retrieval-Augmented Generation (RAG) plugin for Claude Code that combines Chroma db vector embeddings with intelligent info retrieval with Multi-Agent Framework (MAF) orchestration for context-aware development assistance. Uses Open Source / Free frameworks. Implements bridge to Claude Code CLI so no token use. And it's easy to setup.

AI-powered Windows Event Log analyzer that learns from your feedback. Uses Claude AI with RAG to detect suspicious activity, improve accuracy over time, and share learnings across your team. CLI and MCP server interfaces.

CLI tool for intelligent Obsidian vault interaction using RAG. Query your notes with natural language and convert URLs to markdown files with AI-powered content extraction.

From cell-tower climber & handyman to AI Architect in 4.5 months via Claude CLI. Built VAC Memory System: SOTA RAG (80.1% LoCoMo) on gpt-4o-mini. Proprietary MCA ranking, <$0.10/M cost, 100% isolation. Open to partnerships.

Extending Gemini-CLI with Google Gemini File Search; cloud based RAG

⚡️ The "1-Minute RAG Audit" — Generate QA datasets & evaluate RAG systems in Colab, Jupyter, or CLI. Privacy-first, async, visual reports.

Local-first RAG desktop app & official MCP Server. Let any AI instantly search your private Markdown, PDF, and 1290+ document formats. (本地优先的 RAG 桌面端与官方 MCP 服务器。让任意 AI 瞬间检索你的私有 Markdown、PDF 及 1290+ 种文档格式。)

rak — Semantic and hybrid search over your Zotero library, powered by local embeddings

A client program for vectorizing documents and performing similarity queries

Simple CLI RAG scanner

AgentStack is a production-grade multi-agent framework built on Mastra, delivering 50+ enterprise tools, 25+ specialized agents, and A2A/MCP orchestration for scalable AI systems. Focuses on financial intelligence, RAG pipelines, observability, and secure governance. ACP Openclaw, Gemini CLI, Opencode

A Gemini CLI extension that uses RAG and MCP and Custom Slash Commands to analyze packet captures

Crawl any website and convert it to clean, AI-ready Markdown — async Python CLI with MCP support, crawl profiles, caching, and RAG-optimized output

A powerful CLI tool to manage, test, and optimize RAG pipelines. Streamline your Retrieval-Augmented Generation workflows from terminal.