All-in-one terminal workspace — local shells, SSH, SFTP, remote IDE, AI agent, and file manager in a single native binary. Built with Tauri 2 and pure Rust SSH (no OpenSSL). Smart reconnect, MCP, RAG, plugins, 30+ themes, 11 languages.

VelesDB is a local‑first AI data engine written in Rust that unifies vectors, full‑text and graph in a single file with a familiar SQL‑like language. Instead of sending every RAG or semantic search query to a remote cluster, VelesDB runs directly on your server, laptop, browser, mobile or edge device — no cloud dependency, no external services, ..

🦀 High-performance local RAG server in Rust that integrates with Claude Desktop via MCP. Search PDF documents privately using Ollama embeddings - no external API calls.

A fully browser-native RAG application for document Q&A, powered by Rust and WebAssembly with local vector search, embeddings, and in-browser LLM inference.

Nucleus is a modular Rust library for building advanced local AI tools and applications, built-in RAG for private documents, and an extensible plugin system for custom workflows.​

Local-first AI assistant with RAG — built with Rust, Tauri, and LanceDB

High-performance local RAG MCP Server written in Rust — indexes documents and code via Tree-sitter, serves relevant context to AI assistants via MCP

High-performance local RAG library for Rust - SIMD-accelerated vector search, HNSW indexing, ONNX embeddings, WASM support

Assistant IA local pour apprendre Rust en français. Fine-tuning LoRA sur Qwen2.5-Coder + RAG sur la documentation officielle. 100% hors-ligne, optimisé Apple Silicon. Don't worry, an English version is coming!

Local PDF RAG (Rust + Rig 0.30 + Ollama + Qdrant)

macOS IoT news intelligence platform. Tauri 2 + Svelte 5 + Rust backend. Local AI analysis via Ollama, Gmail IMAP ingestion, RAG chat, 3-pane UI.

Rust-based RAG sync engine for Open WebUI. Hashes, tracks, and synchronizes local files to AI knowledge bases with Redis state management and 1:1 Pod architecture.

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Local-only Rust vector library for personal RAG memories

local retrival augmented generation (RAG) of alquran holy scripture using rust & ollama

Rust-based RAG CLI and TUI for Universitat Politècnica de València (UPV). Features headless scraping, local vector indexing, and LLM integration

A local-first OS context engine and RAG diary. Built in Rust with zero-cloud VLM inference and SQLite-backed vector search.

self-hosted LLM API powered by Rust, for local PDF document indexing for Retrieval-Augmented Generation (RAG). Built with Axum, SQLite, and Ollama

A high-performance local semantic search engine. Powered by a Rust background watcher and a Next.js RAG dashboard using LanceDB and Ollama.

🚀 A modern, AI-powered Markdown editor & local knowledge base built with Tauri 2, React 19, and Rust. Features local RAG, full-text search, and a Notion-style editing experience.

Rust-native Corrective RAG (cRAG) runtime for autonomous CLI agents — local semantic retrieval, corrective validation, and persistent agent memory. No hallucinated context. No stateless execution.

A fully local RAG (Retrieval-Augmented Generation) chat application built with Tauri, Rust, and Svelte. All processing happens on your machine - no API keys or cloud services required.

A local-first RAG (Retrieval-Augmented Generation) system for any codebase that keeps your private code and documentation completely secure. Works with Python, Rust, C#, Java, JavaScript/TypeScript, Go, and more.

TaL (Tu asistente Local): Un asistente de IA para escritorio construido con Tauri (Rust + Vue3/Quasar). Soporta modelos locales y remotos, Retrieval-Augmented Generation (RAG) y prioriza la privacidad del usuario.

The AI-Native IDE for Litigation. A local-first editor that treats legal cases like code repositories. Features auto-refactoring for exhibits, "Cmd+K" evidence retrieval, and offline RAG. Built with Tauri, Rust, and React.

A RAG (Retrieval-Augmented Generation) indexing pipeline written in Rust. It extracts text from PDF files, generates sentence embeddings using a local transformer model, stores them in a FAISS vector index, and lets you run semantic similarity searches over the indexed content.

Rust CLI RAG demo: extract text from local PDFs, embed with OpenAI, index in-memory, and chat via GPT‑3.5‑Turbo with rig and a simple CLI. Set OPENAI_API_KEY, drop a PDF (e.g., Moores_Law_for_Everything.pdf) in the project root, then cargo run.