Chat with PDFs and Notes Using Local AI
Ask questions about PDFs, study materials and your notes with local or self-hosted AI apps. Compare document chat tools and check their model connections.
57.6KUpdated 1 day agoApache-2.0
Docker · Web#Code execution#llama.cpp backend#MCP
PrivateGPT is a self-hosted API layer for developers building applications around local models. It requires a separate inference server, such as Ollama, llama.cpp, vLLM or LocalAI; it doesn't run models itself.
33.4KUpdated 21 hours ago
Docker · Web · Browser Extension#MCP#Multi-user access#Ollama integration
Onyx is an AI search and chat platform for teams with information scattered across workplace apps. It gives employees and AI agents answers grounded in company documents.
260Updated 3 months agoMIT
Docker · Web#Hybrid search#LLM tracing#Ollama integration
Ragpi is a self-hosted AI assistant API for teams that want to answer technical questions using their own project material. It lets developers add documentation-based support to a product, website or community.
158.6KUpdated 6 days ago
Docker · Web#Code execution#Human approval#Hybrid search
Open WebUI is a self-hosted chat workspace for individuals and teams using local LLMs and cloud models. It can work entirely offline with local models.
6KUpdated 3 days agoMIT
Docker · Web#Multilingual#Ollama integration#OpenAI-compatible API
Paperless-AI is an extension for Paperless-ngx users who want to sort incoming documents automatically and ask questions about their archive. The project is no longer maintained.
990Updated 2 years agoMIT
Docker · Web#RAG
LlamaIndex Chat is a chatbot builder for people who want assistants that answer questions about their own documents. It's an example application built with LlamaIndexTS; you can host the app yourself, but it relies on cloud services for document indexing and AI responses.
823Updated 2 weeks agoApache-2.0
Docker · Web#Agent Skills#Guardrails#Hybrid search
NVIDIA RAG Blueprint is a reference framework for developers building AI question answering over enterprise data. It retrieves relevant material from your documents to ground answers and can cite the retrieved sources.
6.5KUpdated 3 years agoMIT
Web#Hugging Face integration#RAG#Semantic search
RAGs lets you create a chatbot that answers questions about a single local file or web page. It's for people who want to describe their task in plain language and review the resulting setup through a visual interface.