open-notebook

You can build a self-hosted AI research notebook by running the provided Docker container, which organizes and analyzes private materials across PDFs, videos, audio, and Office documents with local storage.

Yes, you can ingest multiple content types locally and chat with your research documents. The system enables context-aware conversations and generates AI-powered notes and summaries from your ingested sources.

Yes, this private research notebook supports full-text and vector search across web pages, PDFs, and other sources. It indexes diverse materials to allow flexible retrieval within your structured notebooks.

To generate AI summaries and podcasts from research materials, ingest your sources into a notebook and apply transformations. The system creates notes, summaries, and multi-speaker podcasts from the content.

Yes, you need Docker and an encryption key to set up this private notebook for academic R&D. After setting the environment variable and running Docker Compose, you can access the local instance to ingest content.

Limitations of using a self-hosted notebook include relying on your own infrastructure to manage Docker and local storage. You must configure environment variables and manage processing limits for multi-source ingestion yourself.