OpenScholarRetrieval-augmented language-model pipeline that searches scientific papers and synthesizes source-grounded answers.Apache-2.0
Retrieval-augmented language-model pipeline that searches scientific papers and synthesizes source-grounded answers.
OpenScholar helps researchers answer questions using scientific literature by retrieving relevant papers and generating responses grounded in those sources. Its Python pipeline supports local language-model inference, retrieval and reranking, with additional retrieval through Semantic Scholar and optional web search APIs. The repository also provides training code and tools for offline retrieval or hosted retrieval servers.
OpenScholar README · Reviewed 2026-10-27
- 01 / Feature noteLiterature-grounded answers
Retrieve relevant scientific papers before generating a response using their contents as context.
Feature source ↗ - 02 / Feature noteRetrieval and reranking
Run a retrieval-plus-reranker pipeline with a local OpenScholar language model.
Feature source ↗
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Apache-2.0
Repository created
2024-11-15
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2025-08-13
2024-11-15Repository push
2025-08-13
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