Private AI to Chat With PDFs and Documents
Ask questions about PDFs, office files or a team wiki and get answers with sources. AnythingLLM and PrivateGPT keep the files on your machine.
A local AI workspace for document Q&A, offline reference search, and image analysis that runs on Windows, macOS, and Linux without an account.
149Updated 23 hours agoGPL-3.0
macOS · Windows · Linux#GGUF#Hybrid search#llama.cpp backend
HilbertRaum is a local AI workspace for people working with confidential documents, research, or personal archives. It lets you use AI without sending your files or conversations to an external service.
Chat With Your DocumentsDesktop Chat AppsOCR and Document ScanningSpeech-to-Text and Transcription+0
A self-hosted AI extension classifies Paperless-ngx documents and answers archive questions using Ollama or OpenAI-compatible APIs.
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 The project is no longer maintained.
Automation and No-Code AIChat With Your Documents+0
Self-hosted document chatbot that uses Weaviate and supports local models through Ollama; the BSD-3-Clause project is archived and no longer maintained.
7.7KUpdated 5 months agoBSD-3-Clause
Windows · Docker · Web#Hugging Face integration#Hybrid search#Ollama integration
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 The project is archived and no longer maintained, so it won't receive bug fixes or security patches.
Chat With Your DocumentsRAG and Vector Search+0
A self-hosted chatbot builder creates and shares bots for PDF and text documents, using LlamaCloud for data and OpenAI for AI responses.
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.
Chat With Your DocumentsSelf-Hosted Chat Web UIs+0
A self-hosted RAG framework answers questions about your documents using NVIDIA NIM models, with multimodal extraction and optional agentic search.
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.
Chat With Your DocumentsDocument Parsing for LLMsRAG Frameworks and Pipelines+0
A self-hosted RAG framework answers questions from documents using Ollama and local embeddings; it's Apache 2.0 licensed, archived and no longer maintained.
4.4KUpdated 8 months agoApache-2.0
Docker · Web#Batch processing#Multimodal input#Ollama integration
Cognita is a self-hosted RAG framework for developers building applications that answer questions from their own documents. The project is archived and no longer maintained.
Chat With Your DocumentsRAG Frameworks and Pipelines+0
A self-hosted chatbot builder turns a local file or web page into a question-answering agent, with OpenAI defaults and local Hugging Face model support.
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.
Chat With Your DocumentsRAG Frameworks and PipelinesSelf-Hosted Chat Web UIsVisual AI App Builders+0
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