open-notebook

To self-host a private AI research assistant, deploy this open-source platform using Docker Compose by running `docker-compose up -d`. It provides NotebookLM-style document analysis, AI-generated notes, and multi-speaker podcast creation, ensuring your research data remains completely private without vendor lock-in.

You can ingest diverse content types into your AI notebook, including PDFs, web pages, audio, and video. Once uploaded, these sources are organized within notebooks to generate AI-powered summaries, context-aware chats, and multi-speaker podcasts from your research materials.

Yes, this self-hosted research platform supports generating podcasts from documents. It features AI-driven multi-speaker podcast creation, allowing you to automatically produce audio episodes that discuss key findings and advancements extracted directly from your ingested research materials.

Yes, you can integrate different AI providers for document analysis in this self-hosted notebook. The platform integrates with over 16 AI providers via a comprehensive REST API, ensuring flexible, context-aware conversations and customized summarization with your ingested documents.

Docker is required to run this open-source note-taking and research platform. The quick start deployment process specifically requires downloading a docker-compose file and executing the `docker-compose up -d` command to initialize the self-hosted environment.

The best way to organize research papers and identify conflicting viewpoints using AI is by uploading multiple academic papers into this platform. You can then ask the AI to summarize specific findings, identify conflicting viewpoints across sources, and generate context-aware notes.