Tools tagged with "RAG"

avante.nvim brings Cursor-style AI assistance into Neovim for developers who want to keep their editor and choose their own model backend. It answers questions about code, suggests changes and applies edits directly to source files. The plugin is open source under Apache 2.0.

MaxKB is a self-hosted AI agent platform for organizations building customer support bots, internal knowledge assistants and business automation. It combines answers grounded in company documents with workflows that can call functions and MCP tools. You can run it on your own server through Docker and use it through a browser.

Hexabot is a self-hosted AI workflow automation platform for teams building customer service assistants and business automations. It connects conversations to actions across websites, messaging platforms, social channels and custom entry points. You can run it on-premise or in your own cloud, with workflows, memory and customer data in infrastructure you control.

PaperQA2 is an open source Python research assistant for people who need answers grounded in a collection of scientific papers. It searches documents on your machine and writes answers with in-text citations, including page references. Researchers can use it to summarize findings or check for contradictions across papers, while developers can build it into their own research tools.

Kiln is a desktop workbench for teams building AI applications on macOS, Windows and Linux. It keeps a task and its dataset together across evaluation, prompt optimization, RAG and fine-tuning, so teams can compare changes against the same examples. Engineers, data scientists, QA staff and subject matter experts can contribute through the app.

Vespa is a self-hosted AI search platform for developers building search, RAG, and recommendation systems over large, changing datasets. It combines retrieval with machine-learned ranking, so an application can find candidate results and evaluate their relevance in the same platform. The code is open source under Apache 2.0. You can run it on your own servers or use the managed Vespa Cloud service, where applications run in the cloud.

AppFlowy is a self-hosted Notion alternative for teams that want project management, shared documents, and AI in an environment they control. Its self-hosted enterprise offering can run on premises, in your own cloud, or in an air-gapped environment. Self-hosted LLMs and embedding models let you keep AI processing and workspace data inside your infrastructure, with no vendor access to your instance.

Haystack is a Python framework for developers building self-hosted AI agents, document search, and apps that answer questions using their own data. Its modular pipelines let teams control which information reaches a model and inspect how retrieval, memory, tools, and generation contribute to an answer. It's open source under Apache 2.0.

Khoj is an AI assistant for people who want to ask questions across their own files, research the web, and give recurring work to agents. You can self-host it on your computer or server, or use Khoj's cloud app. It's open source under the GNU AGPL v3.0 license.

Vane (formerly Perplexica) is a self-hosted AI search engine for people who want answers drawn from web results, with citations they can check. It runs on your own hardware through Docker or as a server application, with a browser interface and locally stored search history. The project is free and open source under the MIT license.

Tabby is a self-hosted AI coding assistant for developers who want a GitHub Copilot alternative on their own infrastructure. Its server runs on premises and doesn't require a cloud service or separate database. Docker is supported.

Vyact is an open source desktop workspace for people who want to use a local LLM with their documents, email and code. It runs on Apple Silicon Macs, Windows and Linux x64 under the AGPL-3.0 license. Intel Macs aren't supported.

Eclaire is a self-hosted AI assistant for notes, documents, photos, bookmarks and tasks. You can ask questions about saved material, inspect the sources behind an answer and ask the assistant to create notes or update tasks. Scheduled automations handle recurring requests such as a weekly task summary.