Tools tagged with "Source citations"

SurfSense is an open-source NotebookLM alternative that turns documents into cited answers and editable deliverables on your computer. It's a desktop app for Windows, macOS and Linux, aimed at people working with confidential files, research or study material. You don't need an account.

AnythingLLM is an open source AI assistant for people who want to chat with their documents and use AI agents on their own hardware. The desktop app runs on Windows, macOS and Linux, while a Docker deployment supports multiple users on a self-hosted server. No account is required for the desktop app.

Onyx is an AI search and chat platform for teams whose information is spread across workplace apps. It indexes company knowledge so employees can ask questions across sources and get answers grounded in relevant documents. Teams can deploy it in their own cloud or on bare metal, including an air-gapped environment.

GPT Researcher is a self-hosted AI research agent for people who need detailed, cited reports drawn from the web, their own documents, or both. You choose the language model and search provider, and can run the software on your own server or through Docker. It's open source under Apache 2.0.

LightRAG combines knowledge graphs with vector search to answer questions across a document collection. It's a self-hosted Python framework for developers building document assistants, particularly where answers depend on relationships between facts in different files, such as legal or financial material.

RAGFlow is an Apache 2.0 licensed RAG engine for teams building AI agents that need to answer questions from their own documents. It can run on a self-hosted server through Docker on Windows, macOS or Linux. A separate hosted cloud service is available.

Noema is a private local AI assistant for iPhone, iPad, Mac, and Vision Pro. It's for people who want to chat with models and work with their own files on Apple hardware without depending on a cloud service. Local chats can stay on your device, and file retrieval runs there too.

Open Notebook is a self-hosted alternative to Google's NotebookLM for researchers, students, and professionals who want AI help with their own research materials. It runs locally or on your server through Docker and is open source under the MIT license. You choose which content the AI can access and which provider processes it.

ScribeDog is a Markdown editor for writers and note-takers who want AI assistance while keeping their documents on their own hardware. It displays formatted text, tables and images instead of Markdown syntax, but saves ordinary .md files that work with Git and other editors. It has a native desktop app and a self-hosted Server Edition available through Docker.

QAnything is a self-hosted knowledge base for people and teams who want to ask questions about their own documents, including collections that mix Chinese and English. It can answer in either language regardless of the document's language, and runs locally through Docker on Windows, macOS and Linux.

Verba is a self-hosted document chatbot for people who want to ask questions across their files and knowledge bases. The project is archived and no longer maintained. It uses Weaviate to find relevant passages and gives those passages to a language model to generate answers.

Scira is an AI search engine for people who want answers backed by sources and control over the application they use for research. It has a hosted website, and you can self-host the open-source application under AGPL-3.0. Its live search relies on internet access and external services; self-hosting doesn't make that research offline.

STORM is an MIT-licensed, open-source research tool from Stanford OVAL that turns a topic into a Wikipedia-style report with citations. You can run its Python software on your own machine or host it on a server; Stanford also offers a hosted research preview. It's aimed at people gathering background material and writers preparing an article draft.

Morphic is a self-hosted AI search engine for people who want answers backed by web sources and control over the search interface they use. It combines web searches and URL reading with AI-generated responses, so you can examine the sources behind an answer. It's open source under Apache 2.0, and you can run your own instance with Docker or use the hosted website.

Twinny is an AI coding assistant for VS Code that lets developers choose where their models run: on their own computer, a private server or a hosted API. It's for individuals and teams who want code suggestions and repository chat with control over where their code goes. The extension and team gateway are open source under the MIT license.

Pieces runs in the background on your computer and builds a searchable history of your work across apps. It's for people who need to recover a decision, find earlier research or resume a task after switching between tools. Memories stay on your machine by default.

Cognita is a self-hosted RAG framework for developers building applications that answer questions using their own documents. The project is archived and no longer maintained. It combines a browser interface for document Q&A with reusable components built on LangChain and LlamaIndex, under the Apache 2.0 open-source license.

Command A is an open weights language model from Cohere and Cohere Labs for researchers and developers building self-hosted chatbots, document assistants and AI agents. Its focus is business tasks that combine multilingual text, supplied documents and external tools. You can run the model on your own hardware; Cohere also offers hosted chat through a playground and Hugging Face Space.

R2R is a self-hosted AI retrieval system for developers building applications that answer questions using their own documents. It combines search, retrieval-augmented generation (RAG) and a reasoning agent behind a REST API. The project is open source under the MIT license and runs as a Python service or in Docker.

Joplin Jarvis is an AI assistant for people who keep their writing, research, or personal knowledge in Joplin on desktop and mobile. It connects conversations to your existing notes and supports local LLMs through Ollama alongside cloud services such as GPT, Claude, Gemini, and Hugging Face.

localGPT is a self-hosted AI document chat app for people who want to question and summarise files on their own hardware. Its local Ollama setup keeps documents and conversations on your machine. Answers include source passages, so you can check what the model used.

kotaemon is a self-hosted document chat app for people who want to ask questions across their files and check where the answers came from. It runs in a browser on Windows, macOS or Linux, with Docker also supported. The project uses the Apache 2.0 license.

DocsGPT is an MIT-licensed, open-source platform for teams that want AI search, assistants and agents over their own documents. It can run on your servers with local models, including fully air-gapped deployments where documents and questions stay inside your network. Answers include the source title and page number so readers can check the evidence.

Obsidian Copilot brings AI agents into your vault to find notes by meaning, edit drafts and organize research. It's for writers, researchers and other Obsidian users who want AI to work directly with their existing notes. Agents create Markdown files, wikilinks and canvases that remain in your vault.

PrivateGPT is a self-hosted API layer for developers building AI applications around local models. It adds document retrieval, database access and agent tools to an existing model server. Local workflows can work offline and keep data within your environment; web search and connections to online providers need internet access.

Local Deep Research is a self-hosted AI research assistant for people who need cited answers drawn from academic papers, the web and their own documents. It can produce a quick summary or pursue a complex question through repeated searches, then assemble a structured report. It's open source under MIT.

GraphRAG builds a knowledge graph from text so an LLM can answer questions that depend on connections across documents or themes across a whole collection. It's for developers and researchers working with private datasets, such as business documents, proprietary research, or communications.

FastGPT is a self-hosted AI agent builder for teams that want assistants to answer questions using company documents and carry out business workflows. Its visual editor connects model calls, knowledge retrieval and tools into applications for customer support, internal knowledge search and document review. You can run the platform on your own server through Docker or use the vendor's hosted service.

Cognee gives AI agents persistent memory across sessions, connecting documents, code, and conversations in a searchable knowledge graph. It's for developers who want agents to retain project context and teams whose knowledge sits across tickets, discussions, and repositories. The Python package is open source under Apache 2.0.

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.

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.

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.