@DanKornas: Turning source material into a usable research workspace often requires separate tools for extraction, indexing, conver…
Summary
NotebookLlaMa is a fully open-source alternative to NotebookLM, built on LlamaCloud with an MCP server and Streamlit interface for turning source material into a research workspace.
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Cached at: 08/06/26, 02:39 PM
Turning source material into a usable research workspace often requires separate tools for extraction, indexing, conversational access, and an interface.
NotebookLlaMa is a fully open-source alternative to NotebookLM backed by LlamaCloud.
It uses an MCP server and Streamlit application alongside a configured LlamaCloud data-extraction agent and index pipeline.
Key features: • Uses uv to manage project dependencies. • Supports default setup with OpenAI’s text-embedding-3-small embedding model. • Offers an interactive setup path for custom embedding models. • Runs required Postgres and Jaeger containers through Docker Compose. • Includes separate MCP server and Streamlit application processes.
This project is provided under an MIT License.
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